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  • Research Associate-III Post in NIPGR via Direct Recruitment

    Event Status : Created Event

Timeline

Important Dates

Application Closing Date
05/03/2024
Application Opening Date
20/02/2024

Other Important Information

Appointment Type
Direct Recruitment, Research Fellowship
Application Submission Method
Online
Qualification Required
Doctorate
Total Vacancies
1
Location of Posting/Admission
New Delhi, Delhi, India, 110011
Salary
54000
Post Type
Contractual
Work Experience
Yes
Place of Posting/Admission
New Delhi, Delhi, India
Organisation Type
Non-Educational Institution
Website
https://nipgr.ac.in/
Interview
Yes

Note: This information is common for all posts. For details on specific posts, refer to the official notification.

Posts Released

1. Research Associate-III

Important Updates

Refer to the official notification for more details.

Application Summary

National Institute of Plant Genome research has released a notification for the Research Associate-III post. Interested candidates can apply from 20/02/2024 to 05/03/2024. Download the official notification for details on eligibility, post information, job procedure, pay scale, and more.

National Institute of Plant Genome research invites applications for the following post via direct recruitment:

Post Name: Research Associate-III

Essential Qualification: Candidates having a PhD degree in the discipline bioinformatics/computational biology/statistics/mathematics/computer science/life science and any related field with strong publication record in the areas mentioned above (at least one research paper in SCI journal) and fulfil the DST/DBT norms and guidelines are eligible to apply. The project work requires prior work experience in interactive database/web resource development/maintenance, R programming language, ANN or similar, RNAseq/omics data analysis along with knowledge in HTML/CSS scripting, MySQL, PHP, fluency in linux and basics of Javascript. The candidate is expected to develop DRR-web resource (example, SCIPdb-NIPGR), use the database for biological interpretation using machine learning/DL/suitable AI along with large scale data visualization tools. The candidate is also expected to work on DRR-image processing and interpretation for disease phenomics. Further, skills for RGB and hyper-spectral image analysis for disease detection/assessment (neural network/deep learning) and digital disease scoring (computer vision/machine learning/Python) along with demonstrated ability of phenomics/transcriptomics-based biology database development is preferred.

Application send via email to skmuthappa@nipgr.ac.in

For more details related to eligibility criteria, fee, pattern, annexure, place of posting etc. refer to the attachments below.