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NICED PhD Jobs – Life Science & Bioinformatics Eligible

NICED PhD Jobs – Life Science & Bioinformatics Eligible. ICMR-National Institute of Cholera & Enteric Diseases recruiting for Research Associate position for PhD candidates. Research positions for msc candidates at NICED, details given below:

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Title of Job: Research Associate

No. of Posts: 01

Project Title: “Development of precision antimicrobial therapy through identification of virulence factor targets conferring maximum fitness loss”

Name od the PI: Dr Santasabuj Das

Age: Not Exceeding 40 years (2 years relaxable for women candidate) as on 16.03.2020.

N.B.: Age is relaxable for SC/ST/OBC/PH Candidates as per Govt. of India Rules. Age relaxation may be considered for experienced candidates in the relevant field.

Application Instructions:

Candidates satisfying the below criteria may report to the Director along with an application addressed to the Director, ICMR-NICED, Bio-data showing academic record from Matriculation onward experience, current passport size photo pasted on the application as well as attested copied of relevant certifications, for the Walk-In-Interview based on details
given below:

Date, Time & Venue of Interview: 16th March 2020 11.00 A.M at ICMR – National Institute of Cholera & Enteric Diseases (NICED II Building within ID & BG Hospital Campus) 57, Beliaghata Main Road, Kolkata – 700 010

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NEIGRIHMS Life Science Project Manager Recruitment - Applications Invited

The candidate may contact the P.I. by email ([email protected]) for further information if required.

Consolidated Salary per month: Rs. 47,000/- plus 24 percent HRA

Essential Qualifications:

  1. PhD in Bioinformatics or PhD in Life Sciences with Bioinformatics/Computational
    Biology as the thesis topic from a University or Institute recognized by UGC (Provisional.
    PhD degree certification is Mandatory).
  2. Expertise in using R as well as any kind of one programming languages (Perl or Python).

Desirable Qualifications:

  1. Experience in genomics data analysis utilizing state-of-the-art statistical as well as machine learning techniques (SVM, random forests, and also neural networks).
  2. Knowledge in evolutionary genomics, protein modelling and simulation.
  3. Experience in using bioinformatics tools like PAML, MEGA and also CHARMM or GROMACS.

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