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A training curriculum for the Internship program at ICIPE.

Week 1

Week 2

Week 3

Week 4

Week 5

  • Day 1 - Introduction to Data Science and Machine Learning
  • Day 2 - Introduction to Data Science and Machine Learning
  • Day 3 - Introduction to Data Science and Machine Learning
  • Day 4 - Introduction to Data Science and Machine Learning
  • Day 5 - Soft Skills:
    • Cover letter (motivation) and CV writing: make a mock application to EANBiT
    • Presentation skills
    • Mock interview

Week 6 & Week 7

Work on reproducing a paper

Week 8 onwards,

The interns will be assigned to a range of mini projects which the will work on to build on different skills acquired from week 1 to week 7.

Add:

  • A stronger focus on Pipelines, Workflows and Containers
  • Follow up Book a day for Lab tour or even wet lab practicals
  • Shadow someone in the lab
  • A focus on research results interpretation
  • Information literacy workshop

Notes

  1. The interns will be expected to attend other adhoc trainings organized by MBBU or other organization which are deemed important for their growth.
  2. The interns will self organize every day stand up meeting and make a presentation of a new concept learned within the Bioinformatics space.
  3. The interns will be expected to participate in journal club and Monday morning meetings.
  4. There shall be a code/progress review every Friday of the week.
  5. The interns will be expected to write a mid-internship and end of intership reports documenting their journey.

Evaluation

  • Pre Internship Survey
  • Post Internship Survey