welcome trust PhD training Program -the university of york

Training the next generation of scientists in quantitative biology to support interdisciplinary research in the biomedical sciencesTraining the next generation of scientists in quantitative biology to support interdisciplinary research in the biomedical sciences


A Four Year Wellcome Trust PhD Training Programme

Research themes

The programme focuses on inter-related research themes that are central to our ability to combat infections:

• Drug Target Development
• Predictive Modelling of Pathogenesis and Treatment Response
• Development of Novel Tools for Complex Data Analysis

Interdisciplinary research environment

The programme is led the Department of Biology with training and research supervision provided by staff from Biology, Mathematics, Physics, Chemistry, Computer Science, Electronics, and the Hull York Medical School. Our research centres provide the strong interdisciplinary research and training environment: Centre for Immunology and Infection (CII), York Structural Biology Lab (YSBL) and York Centre for Complex System Analysis (YCCSA). This provides a unique opportunity to conduct research at the interface of theory and experiment in the area of infectious disease.

Is this the programme for you?

• Do you have a keen interest in biological problems?
• Are you excited at the prospect of impacting on our knowledge and treatment of infectious diseases?
• Have you excelled in your undergraduate degree in any of these or closely related disciplines: Computer Science, Mathematics, Physics, Chemistry, Electronics, Engineering, Biology?

More Information.... 

BioInformatics National Certification (BINC) Notification 2012

Jawaharlal Nehru University
BioInformatics National Certification (BINC) Examination
Department of Biotechnology, Government of India, New Delhi and
School of Computational and Integrative Sciences, JNU, New Delhi

Registration starts: 15 November 2011
Registration ends: 30 January 2012
Examination: 25–26 February 2012

Objective

Jawaharlal Nehru University, on behalf of Department of Biotechnology (DBT), Government of India, will conduct the BioInformatics National Certification (BINC) examination. The objective of this examination is to identify bioinformatics professionals. This will help potential employers in recruitment of candidates having exceptionally good bioinformatics skills.

Eligibility

Graduates and above in any science, agriculture, veterinary, medicine, pharmacy, engineering and technology are eligible to appear for the examination. They need not have any formal training, diploma or certificate in bioinformatics.

Application and syllabus

The online application can be filled from 15 November 2011 to 30 January 2012. Syllabus approved by National Advisory Committee is available online. It consists of five sections: Bioinformatics, biology, physical and chemical sciences, mathematics and statistics, and IT.

Examination

The examination fee is Rs 600 for candidates from Open category and Rs 450 for reserved category candidates (as per government of India rule). The examination is scheduled on 25–26 February 2012.

The paper I will be of objective type. The paper II will be of short answer type, while the paper III will be a computer-based practical. Research fellowships for all the successful candidates those who are interested and qualified in pursuing Ph.D. in India will be awarded. In addition 10 cash prizes for top ten successful candidates will be awarded.

Examination centres

University of Pune, Pune; Jawaharlal Nehru University, New Delhi; West Bengal Technical University/Calcutta University, B&MB, Kolkata; Anna University, Chennai; Institute of Bioinformatics and Applied Biotechnology, Bangalore; University of Hyderabad, Hyderabad and North-Eastern Hill University, Shillong. Additional Centres will be announced soon.

Please visit the following website for detailed information and registration: http://binc.scisjnu.ernet.in

Bioinformatics training opening at Alcove technologies ,hyderabad

Excellent opening for Fresher’s @ Alcove Technologies, Hyderabad M-Tech /M.Sc (Bioinformatics)-2011 pass outs can attend the interview.

Alcove Life Sciences provides its offshore project services in Bioinformatics, Drug discovery, Genomics, Pharmacogenomics, Cheminformatics, Molecular biology, Clinical informatics, Biostatistics and other Information technology services to worldwide corporates and research organizations.

Position: Trainee

Qualification: M.Tech/M.Sc/PG diploma in Bioinformatics/ Computational biology

Desirable: Freshers

Date and Time Of interview: 28^th, 29^th of November, 2011 at 10am -1pm at Below address.

Job Requirements: Strong Communication Skills, good interpersonal skills with sound knowledge and innovativeness in Bioinformatics.

Our expertise and services include DNA & Protein sequence Analysis, Protein Structure Analysis, Homology Modeling, Clinical Data Management, Data Mining and Microarray data analysis, Molecular Biology, Structural Biology, Research & Development, BIO-Software etc.

Narayana Rao Gartam

Alcove Technologies Pvt. Ltd.

401, 4^th Floor, Balaji Residency,

Behind ICICI ATM, Near Indian Oil Petrol Pump

Hitec-city Main Road, Madhapur, Hyderabad – 500 081

Ph: 040 6644 5677

Email: hiring@alcovelifesciences.com , Website: www.alcovelifesciences.com

3 PhD Fellowships in Computational Systems Biology : Humboldt University Berlin |23.12.11

Biology has developed into a quantitative, information-driven science. We are seeking doctoral students for the new Research Training Group “Computational Systems Biology” (CSB) which focuses on the system-level understanding of biological data using computational methods. CSB is embedded in the thriving Berlin life-science environment and involves high-ranking research institutions such as Humboldt-Universität zu Berlin, Freie Universität Berlin, Charité-Universitätsmedizin Berlin, Max Planck Institute for Molecular Genetics and Max Delbrück Center for Molecular Medicine Berlin-Buch.

Description : We offer 3 PhD fellowships for the following projects (supervised by the specified faculty members):
1. Characterization of the differential protein-mRNA interactome during C.elegans development (Rajewsky/Landthaler)
2. Characterization of protein-RNA interactions based on next-generation sequencing data (Landthaler/Rajewsky)
3. Modelling and analysis of lipid droplet metabolism (Holzhütter)

What we are looking for : We are looking for highly motivated students with a strong interest in systems biology and mathematical modelling. Successful applicants must hold a master’s level degree in life sciences, mathematics, physics or computer sciences. The PhD fellowship comprises a monthly stipend which is initially granted for 2 years and which can be extended for another 12 months. We offer an excellent training program in computational systems biology, supervision by at least two experienced scientists, and multifarious opportunities for developing local and international collaboration.

For online application see : www.berlin-csb.de. 

Contact : Dr. Cordelia Arndt-Sullivan (info@berlin-csb.de)

Application deadline is 23 December, 2011

Developing novel drug combinations to co-target pancreatic cancer and its supporting stroma

Institution:

Queen Mary, University of London

Dept/School/Faculty:

Barts and The London School of Medicine and Dentistry

PhD Supervisor:

Dr HM Kocher

Co-Supervisor:

Prof N Lemoine

Application Deadline:

20 December 2011

Funding Availability:

Funded PhD Project (European/UK Students Only)

A graduate with an interest in cancer biology, with at least an upper second class honours degree, is required for this project involving the close collaboration of academia and industry and supported by the EPSRC and the Pancreatic Cancer Research Fund http://www.pcrf.org.uk/. The project will commence before September 2012 and has funding for 3.5 years. The student will be based primarily at Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Charterhouse Square in London, but will also study with our industry partner Celgene Inc. 

Chemotherapy with gemcitabine is the standard of care for pancreatic cancer. Gemcitabine targets pancreatic cancer cells and does not modulate the surrounding stroma in the solid tumour mass. Recent data suggest that co-targeting stroma and pancreatic cancer may prove synergistic. For example, we have shown that stellate cell behaviour and phenotype can be changed using all-trans retinoic acid (ATRA). This subsequently affects the behaviour of the cancer cells by paracrine signalling. Others have shown that drug delivery was improved by enhancing angiogenesis through modulating tumour-associated fibroblasts via selective targeted inhibition of the Hedgehog pathway. This proposal is designed to investigate pre-clinically the possibility that co-targeting stromal elements with pleiotropic agents may engineer a sustained detrimental impact upon tumour behavior. Proof of principle will be established in physiologically relevant, high-throughput model systems such as organotypic cultures to shorten the discovery phase and help lead to clinical trials based on this novel rationale. 

The Barts Cancer Institute, ranked 5th in the country in RAE2008, has numerous outstanding researchers and facilities (state of the art microscopy and FACS suite, molecular pathology services, Genome Centre). In particular, the Centre for Tumour Biology represents an outstanding collaborative environment in which to conduct this research. There is established expertise in organotypic model systems for pancreatic, breast and skin cancers). All facilities required for modern cellular and molecular biology techniques are available. Furthermore, the Centre has a proven record of publishing top quality research in the leading journals, interaction with industry, interactive laboratory meetings and journal clubs. Overall the atmosphere is one that fosters collaboration and communication between groups, resulting in an enjoyable and productive working environment. 

For an informal discussion, please contact the lead project supervisor: 
Mr HM Kocher; e-mail to:h.kocher@qmul.ac.uk; telephone: 0207 882 3579. 

Funding Notes:

This studentship is funded by the Engineering & Physical Sciences Research Council with a minimum tax-free stipend of £15,590 per annum. This studentship is open to UK and EU Nationals, EEA/Swiss migrant workers and non-EU nationals with indefinite leave to remain in the UK. All applicants must have three years ordinary residence in the UK prior to the start of the studentship.

see eligibility: http://www.epsrc.ac.uk/funding/students/Pages/eligibility.aspx

Interviews will be held week commencing 9th January 2012

References:

To apply please see website: 
http://www.bci.qmul.ac.uk/study-with-us/case-phd-2012.html 

Computational/Experimental studies of biological molecules and computer-aided drug design

Institution:

University of Edinburgh

Dept/School/Faculty:

School of Chemistry

PhD Supervisor:

Dr J Michel

Application Deadline:

Applications accepted all year round

Funding Availability:

Funded PhD Project (European/UK Students Only)

Applications will be considered until the position is filled. 

We develop and use computer simulation methods to study the interactions of organic and biological molecules that are of pharmaceutical relevance. Our aims are to advance understanding of the physical principles of molecular recognition to the level where biological processes, such as protein-ligand association, can be quantitatively predicted and engineered. 

We develop computer-aided drug design methods inspired by computationally intensive detailed molecular simulations. We use high-performance computing resources to improve on the state-of-the art and yet maintain a throughput compatible with the fast pace of pre-clinical drug discovery. We test our computational methods through collaborations with chemical biology, organic & medicinal chemistry, structural biology & molecular biophysics groups. 

To reach our goals, we often develop our own software. Our work is relevant to pre-clinical drug discovery and we interact regularly with industrial scientists. Students in the group receive training in computational chemistry, biophysics, computer programming, chemical biology, drug design. This set of skills will prepare well the students for a future career in academia or the industry. 

We welcome applicants from a wide range of backgrounds (Chemistry, Biology, Physics). The ideal applicant will have a keen interest in drug design, knowledge of physical chemistry or biophysics, wet-lab ( biophysics/structural biology) and/or dry-lab experience (computer programming). Depending on the background and interests of the successful candidate, there is some flexibility within the project. 

For further information, please visit http://www.julienmichel.net/ 

We are based at EastChem, the University of Edinburgh. EastChem has an international reputation of excellence in teaching and research and was ranked number 1 (power ranking) in the UK in the 2008 RAE. 

Examples of current projects: 

* Development and application of new computational methods to characterize the thermodynamics of protein/ligand interactions. 

* Development and application of new computational methods to support structure-based drug design at protein interfaces. 

To apply please send a cover letter, CV and contact details for two professional references atjulien.michel@ed.ac.uk

Funding Notes:

Please note, that owing to funding restrictions, only UK/EU citizens are eligible. Non-EU candidates are not eligible for funding. Applicants should have a minimum of a 2.1 degree at Honours level or 2.2 for a Masters (or equivalent for EU applicants).

References:

For a list of recent publications, please visit http://www.julienmichel.net/lab/ 

Statistical Machine Learning and Natural Language Processing of Programming Language Text (Microsoft PhD Scholarship)

Institution:

University of Edinburgh

Dept/School/Faculty:

School of Informatics

PhD Supervisor:

Dr C Sutton

Application Deadline:

13 January 2012

Funding Availability:

Funded PhD Project (Students Worldwide)

This project will apply the advanced statistical techniques from natural language processing to a completely different and new textual domain: programming language text. Think about how you program when you are using a new library or new environment for the first time. You "program by search engine", i.e., you search for examples of people who have used the same library, and you copy chunks of code from them. The goal of this project is to systemize this process, and apply it at a large scale.

We have collected a corpus of 1.5 billion lines of source code from 8000 software projects, and we want to find syntactic patterns that recur across projects. These can then be presented to a programmer as she is writing code, providing an autocomplete functionality that can suggest entire function bodies. Statistical techniques involved include language modeling, data mining, and Bayesian nonparametrics. This also raises some deep and interesting questions in software engineering: i.e., Why do syntactic patterns occur in professionally written software when they could be refactored away?

The project is suitable for a student with a top MSc or first-class bachelor's degree in computer science, statistics, physics, or a related numerate discipline. Previous coursework or experience in statistics, machine learning, or statistical natural language processing is desirable, although we do not expect students to have all three of these. Because of the scale of the data set involved, a strong programming background will be very useful for this project.

This is an opportunity to join a world-leading research group in machine learning. The Research Programme in Machine Learning is hosted by the Institute for Adaptive and Neural Computation (ANC), a research group of the School of Informatics, University of Edinburgh. According to the 2008 Research Assessment Exercise (RAE), the School delivers more world leading (4*) research than all other RAE institutions in the computer science category, and also delivers more internationally excellent or world leading (3* and 4*) research. ANC is a world leader in Machine Learning, with 6 Academic Teaching Staff specialising in developing machine learning methods (Chris Bishop, Chris Williams, Amos Storkey, Charles Sutton, Guido
Sanguinetti and Iain Murray).

For more information about the supervisor and the machine learning group at Edinburgh, see the supervisor's Web page: http://homepages.inf.ed.ac.uk/csutton/

For informal enquiries about the studentship, please contact csutton@inf.ed.ac.uk(mailto:csutton@inf.ed.ac.uk), copying in the PhD Secretary anc-phdsec@anc.ed.ac.uk (mailto:anc-phdsec@anc.ed.ac.uk).

Formal application must be through the School's normal PhD application process: http://www.ed.ac.uk/schools-departments/informatics/postgraduate/apply Select the Informatics: Institute for Adaptive and Neural Computation research area.

For full consideration, please apply by January 13. However, we encourage students to apply before 16 December 2011, which is the main application deadline for the School of Informatics. All applications that arrive by January 13 will receive full consideration for this studentship, but students who apply before 16 Dec will also receive full consideration for other potential funding sources in the School of Informatics. This is especially important for overseas applicants.

Funding Notes:

The Microsoft Scholarship consists of an annual bursary up to a maximum of three years. This is a fully funded studentship for UK and EU students. We welcome overseas applicants, and can provide funding for EU fees and maintenance for overseas students. The remaining fees component will need to come from another source. Overseas applicants are advised to apply before the standard informatics deadlines and apply for other scholarships. See
http://www.ed.ac.uk/schools-departments/informatics/postgraduate/fees and http://www.ed.ac.uk/schools-departments/informatics/postgraduate/apply/keydatesresearchappns for further information.

Learning the Structures of Models of Computer System Performance

Institution:

University of Edinburgh

Dept/School/Faculty:

School of Informatics

PhD Supervisor:

Dr C Sutton

Application Deadline:

Applications accepted all year round

Funding Availability:

Competition Funded PhD Project (Students Worldwide)

Modern computer systems have become more complex than ever before, with distributed systems becoming a mainstream computing tool. Low latency is a crucial design goal for these systems, because users will not adopt an interactive Web service that is slow. Understanding the performance of a distributed system is extremely difficult because of the many intercations between components.

In this project, we will address this problem by attempting to learn the structure of models to describe the performance of these systems. The goal of this projects is to automatically determine the structure of models to describe the performance of warehouse-scale and cloud applications. Possible structure may include networks of nonparametric regression models, networks of queues, or more complex performance models such as stochastic process algebras. The idea is that the learning structure will be useful for visualization, i.e., that it will provide a compact, interpretable description of the system's performance, so that performance bugs in the system will be visually apparent as bottlenecks in the learned queueing network. Essentially, the learned model will serve as a summary of the large amount of performance data used to generate it. Structure learning is a notoriously complex problem in machine learning, so this new application may serve as a challenge problem for this area.

This is an opportunity to join a world-leading research group in machine learning. The machine learning group in the Institute for Adaptive and Neural Computation is made up of 6 academic staff: Chris Bishop, Chris Williams, Amos Storkey, Charles Sutton, Guido Sanguinetti, Iain Murray. The group conducts research into the development of novel probabilistic machine learning methods, and the application of these novel methods to cutting edge scientific/technological problems.

The project is suitable for a student with a good background in mathematics and in computer science, ideally a first class degree in computer science, mathematics, physics, or engineering. Some knowledge of machine learning is highly desirable, as well as some programming ability. Informal enquiries should be addressed to Dr Charles Sutton at csutton@inf.ed.ac.uk. We recommend that students make informal contact before making a formal application, ideally as soon as possible: the more time between informal contact and the application deadline the better. Application deadlines match the standard Informatics deadlines at http://www.ed.ac.uk/schools-departments/informatics/postgraduate/apply/keydatesresearchappns.

We advise students to apply before the 16 December 2011 deadline.

Formal application must be through the School's normal PhD application process: http://www.ed.ac.uk/schools-departments/informatics/postgraduate/apply Select the Informatics: Institute for Adaptive and Neural Computation research area. 

Funding Notes:

The School offers a variety of scholarships, see http://www.ed.ac.uk/schools-departments/informatics/postgraduate/fees.

Scientific Assistant / Ph.D. Student: Life Science Informatics : Bonn, Germany

The Department of Life Science Informatics, B-IT, University of Bonn, currently has the following opening:

Description : Beginning May 1, 2012, we have an opening for a motivated Ph.D. student in the area of Computational SAR Analysis involving the development and application of numerical and graphical SAR analysis methods. This position is financed through a collaborative project with the pharmaceutical industry. The position is initially available for one year and can be extended for up to three years.

Qualification : Candidates should have a Masters (or equivalent) degree in computer science, computational chemistry, chemoinformatics, bioinformatics, medicinal chemistry, pharmaceutical sciences, or the life sciences, interest in interdisciplinary research, good command of the English language and scripting/programming skills (e.g. Perl, Python, Java, Processing etc).

Duration : Applications are accepted until the position is filled.

For further information : http://www.lifescienceinformatics.uni-bonn.de

Please, send inquiries and applications by e-mail to Prof. Dr. Jürgen Bajorath, Bonn-Aachen International Center for Information Technology / Chair of Life Science Informatics: bajorath@bit.uni-bonn.de

Deadline : 06.01.2012

IFGTB conducting Walk in for nine JRF post in various streams of Life Science

Walk-in-interviews are proposed to be conducted to recruit Junior Research Fellows and Field Assistants for the research projects at Institute of Forest Genetics & Tree Breeding, Coimbatore (Tamil Nadu), as scheduled below:

Current vacancy:-

• Post : JRF
• No of Posts : 09
• Essential Qualification :
  • 1st Class Master Degree in the following disciplines : Forestry /Botany / Plant Sciences/ Biotechnology /Bio-Chemistry/ Microbiology/Microbial Biotechnology/ Gene Technology/Genomics/ Agricultural Microbiology/Environmental Sciences.
• Desirable : Please see the Institute's website for project-wise desirable requirement.
• Emoluments : Rs.12,000/- p.m

• Age : 28 years as on 15th November, 2011 (Relaxable by 5 years for SC/ST and 3 years for OBC candidates).

Terms and conditions:

•  Age limit is 28 years as on 15th November, 2011 (Relaxable by 5 years for SC/ST and 3 years for OBC candidates).
• Candidates should submit their application downloaded from the website of this Institute, in person on the date of interview from 08.00 AM to 10.00 AM. Applications submitted after 10.00 AM on the date of interview will not be entertained.
• Emoluments: As mentioned against each project.
• The positions are temporary and co-terminus with the project.
• Candidates are advised to bring the bio-data duly filled in as per the prescribed format which can be downloaded from the website addresshttp://ifgtb.icfre.gov.in
• Candidates desirous of attending the walk-in-interview should bring original testimonials on educational qualifications and community certificate for verification. Attested copies of the same are to be attached with the bio-data form while appearing for the interview. Candidates without Provisional Certificate/Degree Certificate awarded by the Universities need not attend the interview.
• No TA/DA will be paid for participating in the interview.
Deadline : 15.11.2011
Notification

M.Sc.in Biotechnology / Bioinformatics can appear for Walk in at Dibrugarh University

A walk-in-interview for a post of Project Fellow under UGC sponsored ongoing research project at Dibrugarh University.

Current Vacancy:-

• Post : Project Fellow
• Project title : “Development of digital data book for certain indigenous medicinal plants in the upper Brahmaputra valley, Assam, India”
• Essential Qualifications : Ist class M.Sc. in Biotechnology/Bioinformatics
• Desirable : Knowledge on field survey and DBMS is necessary
• Salary : Rs.8, 000/- pm (fixed)

How To Apply?

• Walk in Interview will be held on 15-11-2011 at 11.00 am in the Department of Life Sciences, Dibrugarh University.
• The Candidates are requested to bring their biodata and all the relevant documents in original.
• The posts are purely contractual basis and subject to satisfactory performance.
• No TA/DA is admissible for attending the interview.

Walk in Interview : 15.11.2011

Notification

Centre for Cellular and Molecular Biology (CCMB), Hyderabad

Centre for Cellular and Molecular Biology (CCMB), Hyderabad

Ph.D Admissions 2012

Centre for Cellular and Molecular Biology (CCMB), Hyderabad, has invited applications from candidates who are bonafide Indian citizens, to pursue research in modern biology leading to a PhD Degree.

The projects offered for PhD would be in the broad areas of Cell Biology, Molecular Biology, Genetics, Genomics, Developmental Biology, Nanobiology, Plant Molecular Biology, Protein Structure and Function, Biology of Macromolecules, Biology of Infection, Epigenetics, Chromatin Biology and Bioinformatics.

Eligibility Criteria:

Candidates who satisfy the following criteria only need apply:

1. Candidates with a Master's degree in any branch of science or a Bachelor's degree in Engineering, Medicine or Pharmacy, having a valid National level fellowship (JRF / SRF of various funding agencies, e.g., CSIR, UGC, DBT, ICMR, etc.), DST-INSPIRE or other equivalent fellowship can apply. Candidates with Bachelor’s degree in Engineering / pharmacy with GATE / GPAT qualification with a minimum of 85 percentile can also apply. Candidates whose final results are awaited but meet the fellowship qualifications may also apply.
2. Candidates qualified only for lecturer-ship in CSIR-UGC (NET) examination or MSc candidates qualified in GATE examination need not apply.
3. Upper age limit is 28 years as on 10.12.2011 which is relaxable as per GoI rules for SC / ST / OBC / Women / Physically Handicapped candidates.

Applications:

Candidates who satisfy the above criteria may submit their applications online through: http://www.ccmb.res.in/phd/phd_reg.php by 10.12.2011.

List of selected candidates for the written test will be ready by 18.12.2011 at www.ccmb.res.in/phd

Written Test and Interview:

All the applications will be screened and candidates found suitable will be called for written test to be held on 18.01.2012 at CCMB, Hyderabad. Candidates qualified in the written test will have to appear for interview on 19.01.2012 and 20.01.2012. Candidates selected in the interview will be asked to stay for discussions on 21.01.2012. Candidates who have qualified in CSIR-UGC NET Fellowship or ICMR-JRF or DBT-JRF or any other equivalent fellowship can also walk in on the day of the written test (18th January, 2012) at 7.30 am into CCMB along with proof of their qualification for the respective fellowship.

For details