NIMHANS Bioinformatics Research Fellow Recruitment
NIMHANS Bioinformatics Research Fellow Recruitment. BTech/MTech Bioinformatics Job. Junior Research Fellow Job for BTech/MTech candidates at NIMHANS. Interested and eligible candidates check details below:
This job expires in :
NIMHANS Job Details
NATIONAL INSTITUTE OF MENTAL HEALTH & NEURO SCIENCES
AN INSTITUTE OF NATIONAL IMPORTANCE
BENGALURU – 560 029
NIMH-PROJ/SERB/CN/NOTI/JRF/2020-21
Name of the Post: Junior Research Fellow
No. of Posts: 01
Project Title: “Evaluating the synergistic efficacy of simultaneous F18 FET PET/ MRI and hybrid Tc-99m GHA SPECT CT in post treatment response assessment evaluation (Post surgical resection post chemoradiotherapy) in cases of Glioblastoma and validating with histopathology”
Name of the PI: Dr Chandana.N
Age Limitation: 28 Years
Duration: 2.5 years. The initial appointment will certainly be made for a duration of one year, which will be extendable every one year for 3 years or till the end of the project relying on the performance of the candidate.
How to Apply for NIMHANS Job:
Qualified applicants fulfilling the criteria, might apply by sending their resume, certificates of qualification, experience as well as a testimonial by e-mail to [email protected].
Applicants who apply, need to usually mention the Notification No. Date, email ID, Contact
No. & Postal Address, failing which the application will not be considered.The last date for receipt of applications together with the relevant documents is 10.09.2020.
The essential qualification for NIMHANS Job: BE/B. Technology as well as M. Tech in Bioinformatics Qualified national level examination like UGC/ICMR/DST Net etc. or equivalent
Desirable Qualifications: Basics of MATLAB, programming, python. Experience in
processing molecular imaging data (PET/SPECT).
Nature of Work: Includes research in image processing and likewise co-ordinating for
patient care between different specialities and also institutes.
Salary: Rs. 31,000 plus 24 percent HRA per month
See Notification Below
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