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Computational Biology Summer Internship

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Computational Biology Summer Internships

Join Computational Biology summer internships to explore the application of computational techniques in biological data analysis, focusing on bioinformatics, systems biology, and the modeling of biological processes.
In 200+ Other Fields

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Back to All Summer Internships.
Join our Computationalbiology Publication Projects and earn co-authorship in the articles that will be published in Scopus Indexed or Science Citation Index (SCI) journals.

Focused Areas under Computational Biology Summer Internship

  1. Bioinformatics tools for genomic and proteomic data analysis
  2. Computational modeling of biological systems
  3. Machine learning applications in computational biology
  4. Systems biology for pathway and network analysis
  5. Population genetics using computational methods
  6. Molecular dynamics simulations of biological processes
  7. Algorithm development for biological data processing
  8. High-throughput data analysis in computational biology
  9. Modeling of gene regulatory networks
  10. Computational analysis of protein-protein interactions
  11. Structural biology using computational approaches
  12. Next-generation sequencing data analysis
  13. Computational drug discovery and design
  14. Evolutionary biology through computational simulations
  15. Data visualization techniques for biological systems
  16. Computational biology in personalized medicine
  17. Predictive modeling of disease progression
  18. Statistical methods in computational biology
  19. Computational biology in cancer research
  20. Artificial intelligence in biological systems modeling

Protocols Covered across various focussed areas under Computational Biology Summer Internship

  1. Bioinformatics pipeline setup for genomic data analysis
  2. Machine learning algorithms for biological data prediction
  3. Molecular dynamics simulations for protein interactions
  4. Pathway analysis using computational systems biology tools
  5. High-throughput data analysis techniques in biology
  6. Gene regulatory network modeling protocols
  7. Computational drug discovery workflow setup
  8. Statistical methods for analyzing biological datasets
  9. Next-generation sequencing data analysis pipelines
  10. Population genetics modeling techniques

Duration: 5, 10, 15, 20, and 30 Days

Note: Please cross confirm whether internship slots for this field are available before joining.

Click Here for Computational Biology Summer Internship
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