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NBPGR jobs for Research Associate Bioinformatics in Delhi. Last Date to apply: 15 Jun 2020

Research Associate Bioinformatics

NBPGR
experience-icon 0 Years
salary-icon Not disclosed
Expired

Posted: 28 May 20

Job Description

Name of the Project: Mainstreaming rice landraces diversity in varietal development through genome- wide association studies: A model for large-scale utilization of gene bank collections of rice.

Research Associate III (01) Bioinformatics 

Pay Scale: Rs. 54,000 + 24% HRA 

Essential qualification: Doctoral Degree in Biotechnology/ Plant breeding/ Molecular Biology/ Life Sciences / Bioinformatics or related subjects.

Desirable Qualification: At least two years of research experience in working with various bioinformatics pipelines in Linux environment, statistical analysis and analysis of high  throughput SNP genotyping data, re-sequencing and transcriptomic data. 

Upper age limit: 35 years


Research Associate III (01) Database, website and mobile app

Pay Scale:Rs. 54,000 + 24% HRA 

Essential qualification: 1. Post-Graduation in Computer Science or Computer Application with 60% marks or equivalent. Each degree and diploma should be from a UGC recognized university.

2. At least two years of research experience in the area of database and application development with evidences in the form of research papers, databases, tools, etc.

Desirable: 3. Expertise of system administration, networking and security administration. 4. Experience in mobile app development in android and ios

Upper age limit: 35 years

Job Particulars

Education M Phil / Ph.D
Who can apply Freshers
Hiring Process Face to Face Interview
Employment TypeFull Time
Job Id933149
Locality Address
State Delhi
Country India

About Company

In an unprecedented initiative, NBPGR, for the first time, has characterized and evaluated (preliminary) entire germplasm of wheat (22000 accessions comprising T. aestivum, T. durum and T. dicoccum) conserved in the National Genebank, at three locations in during Rabi 2011-12. At CCS HAU, Hisar, the wheat accessions have been characterized under optimum conditions. Data on 32 agro-morphological characters are used to develop a core-set. 

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