ESSENTIAL QUALIFICATION: PH.D. DEGREE IN LIFE SCIENCES / PHYSICAL SCIENCE.

Research Associate for Programme No. –I Specialization in the area of plant molecular biology or plant proteomic study or plant pathogen interaction.
Research Associate for Programme No. –I Specialization in the area of plant / fungal Biotechnology, tissue culture and molecular biology
Research Associate for Programme No. –III Specialization in the area of structural biology and protein crystallography.
Research Associate for Programme No. – V Specialization in the area of microbial physiology (metabolism) or environmental microbiology, with experience in microbial genomics and proteomics.
Research Associate for Programme No. – VII Specialization in the area of Theoretical High Energy Astrophysics or Astroparticle Physics. Proven record of independent research experience in Astrophysical
Radiation Magnetohydrodynamics or Cosmic Ray Astrophysics. Experience in numerical techniques and /or date analysis would be additional advantage.
Associateship : 22,000/- p.m., plus admissible H.R.A. and Medical benefit.
Age: Below 3 Age : Below 35 years (Relaxable in case of SC/ST/OBC/Women candidates only as per rule).
SELECTION PROCEDURE FOR BOSE INSTITUTE- RESEARCH ASSOCIATE POST:

Candidates can apply on or before 13/4/2015.
No detailed information about the selection procedure is mentioned in the recruitment notification.
HOW TO APPLY FOR RESEARCH ASSOCIATE VACANCY IN BOSE INSTITUTE:

Interested and eligible candidates may read the application procedures and instructions carefully before applying through online as well as submitting the hard copy of the same. Candidates those who has submitted their Ph.D. Thesis and can produce Provisional Ph.D. Certificate at the time of Interview may also apply

Ref
Bose Institute Recruitment 2015 – ADVT. NO. : BI/IF/35/2014-15.

The engagement is purely temporary on contractual basis and co-terminus with the project. There will be no provision of absorption of absorption/reemployment in IVRI/DBT on termination of the project.

No TA/DA will be provided for appearing in the interview and no separate letter will be issued.

A. Name tile of the project: “Centre for Agricultural bioinformatics (CABin)”.

B. Position/post to be filled: Research Associate (one)

C. Essential/Desirable qualifications:

•Essential: M.V.Sc./M.Tech./MSc Degree in Biotechnology/ Biochemistry/ Microbiology/Immunology/Bioinformatics/Genetics/Life Sciences or

Masters in Computer Application/ Masters in Computer science with first division.

• Desirable: Experience in cell culture, next generation sequencing, C++ and perl programming. NET/GATE qualified will be preferred.

• Experience : At least 2 years

D. Emoluments: Rs. 23000/- per month + 20% HRA

E. Age Limit: Maximum 40 years for men and 45 years for women

F. Duration of the project: Up to March 2017

G. Name of PI/Contact person: Dr. G.V.P.P.S. Ravi Kumar, Sr. Scientist, Division of Veterinary Biotechnology.

H. Address for correspondence: Dr. G.V.P.P.S. Ravi Kumar, Sr. Scientist, Computational Biology and Genomics facility,Division of Veterinary Biotechnology, I.V.R.I., Izatnagar – 243122

Advertisement: www.ivri.nic.in/jobs/WalkIn_interview_01042015.pdf

Job Description

• Work within a fast-paced, collaborative environment with small project teams working on a variety of tasks ranging from new product development to DNA data processing
• Collaborate with Centrillion research scientists in order to bridge the gap between the laboratory and the digital world
• Develop tools to enable research projects to cope with the enormous amounts of data produced by modern DNA sequencing experiments
• Build simulation algorithms to help guide and analyze research done in the lab
• Solve challenging engineering problems that require the development of innovative algorithms

Requirements

• Strong background in mathematics/statistics with a degree in a related field
• Strong analytical, coding, communication, and organizational skills
• Experience with algorithm development, simulations, and data analysis
• Proficiency in at least one modern programming language (like Python or Perl)
• Experience analyzing genetic and biological data sets (e.g., DNA data analysis and image analysis)
• Experience with machine learning and pattern recognition is preferred

Please submit your resume at https://www.centrillionbio.com/career/ to apply for this position.

A postdoctoral training position is currently available in the Computational and Statistical Genomics Branch (CSGB) of the National Human Genome Research Institute (NHGRI). The position is located in the laboratory of Andy Baxevanis, Ph.D., whose research group uses comparative genomics approaches to better-understand the molecular innovations that drove the surge of diversity in early animal evolution. The overarching theme of Dr. Baxevanis’ research program is focused on how non-traditional animal models convey critical insights into human disease research.

Candidates should have or be close to obtaining a Ph.D. or equivalent degree in bioinformatics, computational biology, computer science, molecular biology, or a closely related field. Candidates with a background in evolutionary biology are particularly encouraged to apply. Programming skills and experience in the application of computational methods to genomic data are highly desirable. Applicants must possess good communication skills and be fluent in both spoken and written English. The ability to learn how to use new software and quickly become expert in its use, critical thinking, problem-solving abilities, and the ability to work semi-independently are required.
How to Apply

Interested applicants should submit a curriculum vitae, a detailed letter of interest, and the names of three potential referees to Dr. Baxevanis at andy@mail.nih.gov.
About Our Organization

The NIH Intramural Research Program is on the Bethesda, Maryland campus and offers a wide array of training opportunities for scientists early in their careers. The funding for this position is stable and offers the trainee wide latitude in the design and pursuit of their research project. The successful candidate will have access to NHGRI’s established and robust bioinformatics infrastructure, as well as resources made available through NIH’s Center for Information Technology (CIT) and the National Center for Biotechnology Information (NCBI).

For more information on CSGB and NHGRI’s Intramural Research Program, please see http://genome.gov/DIR/.