GATE

M.Pharm with minimum four years experience in medicinal & aromatic plants OR PhD in Botany, Life science, Pharmacy. 1st class M.E, M.Tech, M.Sc. in relevant branch of Engineering and Technology, Materials Science, Chemistry and Polymer Science

Title of Project Engineering of Long-lasting Breast Hydrogel Implants for Cancer Immunochemotherapy. Essential Qualifications MSc Biotechnology, Chemistry, Pharmacy, Pharmacology qualified with any national level test NET, CSIR-UGC, GATE, GPAT.

M.Pharm, M.S Pharm., M.Tech Pharm in Pharma / Medicinal chemistry, Pharmacoinformatics, Pharmaceutics, Pharmacology, Pharmacognosy, Analysis, Pharma-biotechnology, Natural product. Study the Metabolic Biomarkers as Predictive Response to Radiation Exposure, Rapid Assessment of Radiation Signatures in Biological Fluid, Plasma, to Enhance Astronaut Safety and Performance

M.Sc Organic Chemistry, Analytical Chemistry, Biochemistry, Phytochemistry Or M.Pharmacy, M. S. Pharmaceutical Chemistry, Medicinal Chemistry, Natural Products, Pharmacognosy.

Masters in Biotechnology, Life Sciences, Bioinformatics, Biochemistry, Allied Biological Science discipline. Master in Chemical Sciences, Pharmaceutical Chemistry, Medicinal Chemistry, Pharmaceutical Chemistry. Bioinformatics analysis, Molecular docking, Protein Chemistry, protein purification, gene cloning, biological assays, enzyme assays, cell culture, IHC and protein localization, reproductive biology, or drug screening. 

The candidate should have M.Sc. degree in Botany, Microbiology, Biochemistry, Biotechnology, Life Sciences from a recognized university with minimum 55% marks and NET, GATE qualified. candidates with experience in the area of Fungal Diversity QR related field will he preferred.

M.Sc. in life sciences with NET, DBT-JRF, GATE or equivalent exam cleared. Practical experience in protein expression and purification, ribosome isolation cryo- EM data processing, atomic model building and model validation.

Masters, Integrated Masters in Natural or Agricultural or Pharmaceutical Sciences MVSc, Animal Sciences OR Bachelors degree in Engineering or Technology or Medicine from a recognized University or equivalent

To undertake proposed research involving data analysis, computational modeling and programming for the clinical data on diabetes. Experience in data analysis, computer programming and mathematical modeling is desirable.