CBMR Research Internships 2023 For Biotech & Bioinformatics
CBMR Research Internships 2023 For Biotech & Bioinformatics. Center of BioMedical Research (CBMR www.cbmr.res.in), an autonomous centre of the Government of UP, invites applications for one-year research internships from motivated students of the final year MPharm / MSc pharmaceutical chemistry, medicinal chemistry, pharmaceutics and MSc / MTech biochemistry, biotechnology, computer science, bioinformatics.
This call expires in
How to Apply:
Kindly send your application with your CV and a letter of recommendation from HoD to The Director, Centre of BioMedical Research, SGPGIMS Campus, Raibareli Road, Lucknow by email to [email protected] and copy to [email protected] latest by July 15, 2023.
Possible Interview Questions for the internship at CBMR:
- Can you briefly describe your experience and educational background in the field of biotech and bioinformatics?
- Answer: I have completed my final year MSc in bioinformatics from [University Name]. During my studies, I gained a strong foundation in various bioinformatics tools and techniques, including sequence analysis, data mining, and statistical analysis. Additionally, I have worked on research projects related to drug discovery and computational biology, which allowed me to apply my knowledge in a practical setting.
- Have you worked on any research projects related to drug discovery or biomedical devices? If so, could you provide a brief overview of your contribution and the outcome?
- Answer: Yes, during my academic tenure, I had the opportunity to work on a research project focused on drug discovery. I was involved in molecular docking simulations and virtual screening of small molecules against a target protein associated with a specific disease. My contribution included data analysis, interpretation of results, and collaborating with the team to propose potential drug candidates for further investigation.
- Are you familiar with any programming languages or software tools commonly used in bioinformatics? If so, could you provide examples of your experience utilizing them in bioinformatics research projects?Answer: Yes, I have experience working with programming languages and software tools commonly used in bioinformatics. I am proficient in Python and R, which are widely used for data analysis, statistical modeling, and developing algorithms in bioinformatics. For instance, in one of my research projects, I utilized Python to implement machine learning algorithms for predicting protein-protein interactions based on sequence and structural features. I also have experience using bioinformatics tools like BLAST, NCBI databases, and various packages in the Bioconductor suite for data retrieval, sequence alignment, and functional annotation.
- Have you had any exposure to 3D bioprinting or related technologies? If yes, can you elaborate on your experience and the potential applications of this technology?
- Answer: Although I haven’t had direct experience with 3D bioprinting, I have extensively studied the concept and its potential applications in the field of tissue engineering and regenerative medicine. I understand the fundamental principles of 3D bioprinting, such as biomaterial selection, cell encapsulation, and printing techniques. I believe this technology holds immense potential for creating functional tissues and organs, personalized medicine, and advancing biomedical research.
- How do you plan to contribute to the ongoing research projects at CBMR in the areas of drug discovery, biomedical devices, and bioinformatics?
- Answer: Given my background and interest in the field, I am excited to contribute to the ongoing research projects at CBMR. With my expertise in bioinformatics and drug discovery, I can apply computational methods and data analysis techniques to aid in identifying potential drug targets, designing experiments, and analyzing research outcomes. Additionally, my knowledge of Android app development and database management can contribute to the development of user-friendly interfaces and efficient data handling for biomedical devices and research databases.
Please note that these are sample interview questions, and the actual questions asked in the interview may vary depending on the interviewer and the specific requirements of the internship program.
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