1. 2 Eggs and 100 Floor Classic Puzzle
2. Five pirates and gold coin Puzzle
3. Six pirates and Gold Coin puzzle
4. Probability of having boy
5. Random Airplane Seats
6. Inverted playing card puzzle
7. Flipping Coins Puzzle
8. Three hat colors Microsoft Puzzle
9. 25 horses 5 tracks Puzzle
10. Gold Bar Puzzle
11. Crossing the Bridge Puzzle
12. Will you accept the bet?
13. The Puzzle of 100 Hats
14. Man fell in Well Puzzle
15. Minimum Number of Weigths
16. One Bulb with 3 Switches
17. Find the minimum number of aircraft
18. Burning ropes to measure time
19. Connect 3 houses with 3 wells
20. Measure 9 minutes from 2 hourglasses puzzle
21. Ant and Triangle Problem
22. The Man in the Elevator
23. Find the survivor
24. Free the prisoners puzzle
25. GREAT STRATEGY CAN ONLY SAVE LIFE

Specially for Microsoft Interview Puzzles, you may refer,
Top 15 Microsoft Interview Puzzles
Microsoft Interview Puzzles

Other MOST COMMON Interview Puzzles-
Top 25 Tech Interview Logical Puzzles

Each of the puzzles got repeated a number of times in interviews even for top tech companies 

a) Show appreciation for their time and thank them

b) Mention something specific you talked about in the interview, so they know it’s not a cut & paste email

c) Express interest in the position and tell them you’re excited to learn more

d) Invite them to contact you if they have any questions/concerns, or need clarification on anything discussed

First sample:

Dear Dr XYZ
I enjoyed speaking with you today about the XXX position at the X Lab, Uni. The job seems to be an excellent match for my skills and interests.

The lab loaded with new updated technology and international experts, that you informed while interviewing confirmed my desire to work with X lab.

In addition to my enthusiasm, I will bring to the position strong writing skills, assertiveness, and the ability to encourage others to work cooperatively with the group

I appreciate the time you took to interview me. I am very interested in working with you and look forward to hearing from you regarding this position.

Sincerely,
XXX

Second sample:

Dear Dr XXX,

I wanted to take a second to thank you for your time . I enjoyed our conversation about and enjoyed learning about the position overall.

It sounds like an exciting opportunity, and an opportunity I could succeed and excel in! I’m looking forward to hearing any updates you can share, and don’t hesitate to contact me if you have any questions or concerns in the meantime.

Thanks again for the great conversation .

Best Regards,
XXX

DBT-Junior Research Fellowship (DBT-JRF) in Biotechnology (2020)

BIOTECHNOLOGY ELIGIBILITY TEST (BET) 2020

Applications are invited from bonafide Indian citizens, residing in India for award of “DBT-Junior Research Fellowship” (DBT-JRF) for pursuing research in frontier areas of Biotechnology and Life Sciences. The candidates will be selected through “Biotechnology Eligibility Test (BET)”. Based on the performance in BET, two categories of merit list will be prepared (Category-I and Category-II). Government of India norms for reservation will be followed for selection. Candidates selected under category-I will be eligible to avail fellowship under the programme. These will be tenable at any University/Institute in India where the selected candidate registers for PhD Programme. Candidates selected under Category-II will be eligible to be appointed in any DBT sponsored project and avail fellowship from the project equivalent to NET/GATE, subject to selection through institutional selection process. There will be no binding on Principal Investigators of DBT sponsored projects to select JRF for their project from category-II list. Selection in category-II will not entitle student for any fellowship from DBT-JRF programme.

ELIGIBILITY

Qualification: M.Sc./ M.Tech./ M.V.Sc. or equivalent degree/ Integrated BS-MS/ B.E./ B.Tech. in any discipline of Biotechnology, M.Sc./ M.Tech. Bioinformatics/ Computational Biology, students admitted under DBT supported Postgraduate Teaching Programs. M.Sc. Life Science/ Bioscience/ Zoology/ Botany/ Microbiology/ Biochemistry/ Biophysics and Masters in Allied areas of Biology/Life Sciences. Candidates appearing in the final year examination are also eligible to apply.

Marks: Minimum 60% marks for General, EWS & OBC category and 55% for SC/ ST/ Differently abled in aggregate (or equivalent grade).

Age Limit: Upto 28 years as on the last date of application for General & EWS category. Age relaxation of up to 5 years (33 years) for SC/ ST/ Differently Abled/ women candidates and upto 3 years (31 years) for OBC (Non-Creamy Layer) candidates.

For detailed procedure for filling the application form, payment of application fee and uploading of required documents/ certificates in the prescribed format, please visit: http://rcb.res.in/BET2020. A non-refundable and non-transferable application fee of Rs. 1000/-is payable online by General/ OBC/ EWS candidates and Rs 250/- by SC/ ST/ Differently abled candidates.

IMPORTANT DATES

http://www.uib.no/rs/mcb

1. Big Data and Bioinformatics

The exponential growth in biological data, driven by advancements in sequencing technologies and high-throughput experiments, has made bioinformatics an indispensable tool. By 2030, we anticipate:

• Petabyte-Scale Data Management: Enhanced storage solutions and cloud computing platforms will allow researchers to handle the vast amounts of data generated from omics studies, including genomics, transcriptomics, and proteomics.

• AI and Machine Learning Integration: Sophisticated algorithms will uncover patterns and relationships in large datasets, enabling predictions about gene function, disease susceptibility, and therapeutic outcomes.

2. Personalized Medicine and Genomics

Bioinformatics will play a pivotal role in tailoring healthcare to individual patients. Key developments include:

• Whole-Genome Sequencing in Clinics: The decreasing cost of sequencing will make it routine in medical diagnostics, enabling personalized treatment plans based on an individual’s genetic makeup.

• Drug Repurposing and Development: Computational tools will identify potential new uses for existing drugs, accelerating the development of targeted therapies.

3. Advancing Computational Tools

The future will see the development of more user-friendly and powerful bioinformatics tools:

• Graph-Based Approaches: Enhanced algorithms for analyzing complex biological networks, such as protein-protein interaction maps.

• Visualization Tools: Intuitive software for visualizing multi-dimensional data, enabling researchers to interpret findings more effectively.

4. Synthetic Biology and Systems Biology

Bioinformatics will continue to drive progress in synthetic and systems biology by:

• Gene Circuit Design: Leveraging computational models to design and simulate synthetic biological systems.

• Understanding Cellular Pathways: Integrating multi-omics data to model cellular processes with unprecedented accuracy.

5. Bioinformatics in Agriculture and Environmental Science

Beyond healthcare, bioinformatics will revolutionize agriculture and environmental conservation:

• Crop Improvement: Genomic studies will help develop high-yield, disease-resistant, and climate-resilient crops.

• Microbial Ecology: Metagenomics will enhance our understanding of microbial communities, aiding in bioremediation and ecosystem management.

6. Democratization of Bioinformatics

Open-source software and accessible education will broaden participation in bioinformatics research:

• Community-Driven Projects: Collaborative platforms like GitHub will continue to foster innovation in tool development.

• Education and Training: Online courses and workshops will bridge skill gaps, enabling researchers from diverse backgrounds to contribute.

Challenges and Ethical Considerations

While the future is bright, challenges remain. Data privacy and ethical concerns surrounding genetic information require careful navigation. Furthermore, addressing the digital divide is critical to ensuring equitable access to bioinformatics resources globally.

Conclusion

The future of bioinformatics is boundless, with opportunities to revolutionize our understanding of life and improve human health. As technologies evolve and collaborations flourish, bioinformatics will undoubtedly remain at the forefront of scientific discovery, unlocking the secrets of life one dataset at a time.

Read more: https://edu.t-bio.info/amity-university-summer-bioinformatics-program-registrations-are-open/

Address of the bookmark: https://bioinformatik.de/en/bioinformatics-in-germany/research/research-groups.html

Job Description: We are interested in finding an excellent postdoc with interests in protein functional annotation, machine learning and computer grids. The position is open for 3.5 years at the Université Pierre et Marie Curie, in the heart of paris.

Research topic: Protein function annotation, multiple probabilistic models, domain architecture, machine learning, combinatorial optimization, computer grid.

Title: A novel integrative platform for large scale protein annotation that exploits a multitude of diversified probabilistic models in several protein signature databases.

We propose a novel integrated approach for large scale protein annotation that will exploit an unprecedented amount of genomic data as well as sophisticated machine learning techniques and combinatorial optimization approaches taking advantages of High Performance Computing (HPC) environments. The idea is to uncover as much as possible the evolutionary processes of protein sequences that took place throughout the whole tree of life and that affected the evolution of a protein family. We have already demonstrated in a previous work that the problem of functional annotation is inherent to the ability of uncovering such paths. Now, we shall extend this approach to large scale genome annotation by considering 11 different protein databases, constituted by about 10^9 protein sequences, and by producing a large pool of diversified probabilistic models coding for about 10^7 evolutionary protein pathways. Such models will be used to search for specific domains in genomes to be annotated. Our previous methodology needs to be fundamentally improved to deal with this large amount of biological data. In this project, we shall work on the algorithms to reduce the space of models and the search complexity, and we shall implement some important algorithmic changes towards the realization of a powerful integrated annotation tool.

Where: This project is run on the Laboratoire de Biologie Computationnelle et Quantitative UMR7238 CNRS-UPMC – Analytical Genomics team, headed by A.Carbone. It is co-advised with Pierre-Henri Wuillemin, Laboratoire d’Informatique de Paris 6 – Equipe DECISION.

Start date: September 1st, 2014
Contact Person: Alessandra Carbone
Contact: alessandra.carbone@lip6.fr

More at http://www.tiehh.ttu.edu/dr.-kamaleshwar-singh.html