Interested in computational biology?

For students from quantitative disciplines

Students from quantitative disciplines (computer science, data science, artificial intelligence, statistics, mathematics, physics, …) interested in biology and medicine are highly encouraged to apply. Biological background can be mastered during the course of the project.

For students from biomedical disciplines

From experience, students from biomedical disciplines (biology, medical biology, molecular biology) have little prior experience with computational work. Joining the lab thus presents a steep learning curve, which we are happy to help you with. You should however bring:

  • A strong curiosity for statistics and machine learning.
  • Ideally prior programming experience or other computational skills.
  • A high level of intrinsic motivation and critical thinking.
  • Independence (we can only show you the door – you’re the one that has to walk through it).
  • Applicants for a master thesis should first perform a practical training in the lab.

To join the lab for a practical training, you should ideally have completed the following courses or have similar experience:

  • Big Data Management (865.M41 / winter semester)
  • Bioinformatische Übungen I [English course available!] (614.018 / summer semester)
    (this basic programming practical is a soft prerequesite for the following two courses)
  • Biomedical Data – From Molecules to Diseases (231.110 / winter semester)
  • Hands-on Biomedical Data – Resources and Analysis Tools (231.111 / winter semester)

We recommend to plan and get in touch early on. Please sum up relevant courses and especially also interests and computational expertise (a big plus!) in a short application email when considering to join the group.

Further relevant courses are (non-exhaustive list):

  • Bioinformatik (614.017)
  • Bioinformatische Übungen II (614.026)
  • Digitalisierung (614.036)
  • Studienergänzung „Informatikkompetenz für alle“
  • Introductory statistics lectures