ICAR-NBPGR Research Jobs With Rs. 54,000 pm Salary

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ICAR-National Bureau of Plant Genetic Resources Pusa Campus, New Delhi – 110012, India.

Applications are invited to attend Interview (in-person/ online through video conferencing) for the following posts under DBT funded network 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� for a period of five years (up to Feb. 2025) at ICAR-National Bureau of Plant Genetic Resources (NBPGR), New Delhi. The positions are of temporary nature and co-terminus with the project. Owing to the prevailing COVID-19 crisis, candidates may choose for interview either inperson or through online process. The eligible candidates (appearing in-person as well as online mode) are requested to send their application in the enclosed proforma along with scanned copy of the original documents through email to rakesh.singh2@icar.gov.in and copy to singhnbpgr@yahoo.com latest by June 15, 2020. After screening the applications, the eligible candidates will be informed for further details regarding interview by email or over phone. Original documents of the candidates appearing interview in-person will be verified on the interview date and for the candidates appearing online interview will be verified at a later stage.

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. Name of PI: Dr. Rakesh Singh, Principal Scientist, Division of Genomic Resources, NBPGR. Name of the Emoluments per Qualifications Post and month Number Research Rs. 54,000 + 24% Essential qualification: Doctoral Degree in Biotechnology/ Plant breeding/ Associate III HRA Molecular Biology/ Life Sciences / Bioinformatics or (01) related subjects. Bioinformatics Desirable Qualification: At least two years of research experience in working with various bioinformatics pipelines in Linux environment, statistical analysis and analysis of high 1


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