JNU JRF Vacancies
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Bioinformatics Summer Internship 2024 With Hands-On-Training + Project / Dissertation - 30 Days, 3 Months & 6 Months Duration

JNU JRF Vacancies For Bioinformatics Candidates – Apply Online

JNU JRF Vacancies For Bioinformatics Candidates – Apply Online. MTech Bioinformatics Junior Research Fellow Job. Candidates can apply online for junior research fellow vacancies. Interested and eligible candidates check out the details below:

This job expires in :

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JAWAHARLAL NEHRU UNIVERSITY
School of Biotechnology
New Delhi – 110067

Name of the Position: Junior Research Fellows (JRFs)

No of vacancies: Two

Name of the Project: Data Reduction technologies for genomics and transcriptomics data sets

Project funded by: Data Science Cluster Project under Interdisciplinary Cyber-Physical Systems under the Department of Science and Technology (DST-ICPS)

How to Apply for JNU Vacancy:

  • Interested applicant are requested to apply to utilize the following web link. https://goo.gl/forms/WwEIbEo74cxGRqfa2
  • Deadline to apply is October 15, 2020. Interviews are most likely to be held at the end of October. Those who have applied in reference to an earlier ad are requested to apply again.
  • Details regarding our current laboratory activities can be seen at www.sciwhylab.org and by subscribing to our recently launched YouTube Channel at: https://www.youtube.com/channel/UCiNgifF1iapJmJl4ChEoNZw

Income: Standard JRF salaries based on the rules of DST, Government of India applicable every so often. At this

time this salary is roughly expected to be Rs 25,000 plus 30% HRA per month, but the exact details will be notified in the offer letter to the selected candidates.

Essential Qualifications & Experience: The incumbents need to have cleared CSIR/UGC JRF exam or have passed an M. Technology. degree in Data Science/ Bioinformatics or a related area. They are expected to have strong programming abilities. Previous experience of servicing Biological/ Medical data sets, particularly genomics, medical diagnostics or NGS data analysis is desirable.

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