NISER Biological Sciences RA Job – Life Sciences Eligible
NISER Biological Sciences RA Job – Life Sciences Eligible. Biological Sciences & Life Sciences candidates can apply for the Research Associate-I vacancy. Interested and eligible applicants can check out all of the details on the same below –
This job expires in
NATIONAL INSTITUTE OF SCIENCE EDUCATION AND RESEARCH,
BHUBANESWAR
(An Autonomous Institution under Department of Atomic Energy, Govt. of India)
At/ P.O.- Jatni, Dist- Khurda, Pin-752050, Odisha
(Research & Development Section)
Advertisement No.: NISER / R&D-184 / BL1904 / 15 / 2021-22
Name of the Post – Research Associate-I
No. of Posts – 01
Name of the Project – “Bioactive Bhubaneswar Biophysical Characterisation”
Age – 35 years as on date of interview, age relaxation to entitled categories as per rules.
Duration – The above position is purely temporary for a period of one year or completion of project whichever is earlier and strictly co-terminus with the project. It would, therefore, not confer any right/ claim, implicit, or explicit for consideration/ absorption against any
NISER post.
How to Apply –
Interested candidates should appear for the interview through Zoom/ Google Meet video
conferencing only. They need
For any clarification please contact Dr Ramanujam Srinivasan on the above-mentioned email.
No TA/DA will be paid to the candidate, for appearing in the interview or joining the position.
Monthly Emoluments – Rs. 47,000/- pm plus HRA as per rules
Qualifications – The applicant must have been awarded a PhD degree in Physical Sciences/ Biological Sciences/ Life Sciences or allied disciplines from a recognized Institution. The candidate is expected to have a strong background and worked for his doctoral thesis in topics relating to structural biology or cell biology with a strong emphasis on macromolecular or cellular structures. Candidates are expected to have strong training in basic structural analysis, crystallography or electron microscopy with experience in single-particle analysis or 3D cellular tomography. Experience and knowledge of python scripting, software tools such as PyMol, 3D-MOD, RELION, variety of sample preparation methods for Electron microscopy are desirable. Candidates with a demonstrated track record with publication in a peer-reviewed journal of international repute or pre-print servers (bioRxiv) will have an advantage.
Click here to download the application format
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