DST

Transcriptional engineering of a fast-growing marine cyanobacterium Synechococcus sp. PCC 11901 towards efficient metabolites production. The candidate should be M.Sc. in Biotechnology, Life Science, Biochemistry, Microbiology, Microbial Biotechnology with minimum 55% marks and must have qualified NET or GATE.

M.Sc in Microbiology, Biotechnology, Botany, Marine Biology. Work in the research project entitled Carbon Capture, Utilization and Storage - Algae-based flue gas CO2 sequestration with co-production of high-value bio-chemicals. Competency in microalgal mass cultivation, optimization of upstream conditions for improving biomass yield, and process scale up would be preferred.

First class Post Graduate in Pharmacology, Biotechnology, Life Sciences and should be selected through a process described in anyone of the following National Eligibility Test CSIR-UGC NET including lectureship Assistant Professorship and GATE.

Revolutionary cellular & immunomodulation technologies Tissue engineering innovations: Laboratory-grown organs and tissues

The candidate is required to have working experience in RNA isolation, cDNA synthesis, protein-protein interaction related techniques, microscopy and transcriptome analysis. Prior work experience in the field of root nodule symbiosis and proven publication in the field will be given preference. 

Development and evaluation of oral bait vaccine for classical swine fever in pigs. MVSc. in Biotechnology, Microbiology, Biochemistry or MSc in Biotechnology, Microbiology, Biochemistry, Molecular Biology or B. Tech Biotechnology.

First-class Masters degree in Chemistry or equivalent from a recognized university, institution. Background in physical, organic chemistry, proficiency in UV-Vis and fluorescence spectroscopy, and experience with fluorescence microscopy.

PhD in Life Science, Food Science, Pharmacy, Biochemistry with at least three research paper in peer-reviewed research publications in science citation indexed journals in the area directly related to the project.

A professional with MD or PhD Bioinformatics from recognized institution. The ideal candidate will have experience in handling and analysing Next-generation sequencing data.