Computational MD @ Helmholtz Munich

Our offer

  • You do a competitive computational research project at one of our computational research labs with the opportunity to publish our work in a high-impact journal (see examples below)
  • We provide project supervision, computational expertise and high performance compute resources
  • We help you get funding from university or external funding bodies

Your profile

  • You have expertise with writing code and analyzing data and/or are motivated to learn how to implement machine learning algorithms in Python
  • You have a strong interest in executing a health AI project between Helmholtz Munich and the clinics (check out current offers at DoktaMed or Doktabörse)

Send a motivation letter, CV and transcript of record via email to the respective PI.

If you have any questions, please feel free to contact our current medical students (see e.g. MD students in the Marr lab).

Publications from previous digital MDs

  • Matek, C., Schwarz, S., Spiekermann, K., and Marr, C. (2019). Human-level recognition of blast cells in acute myeloid leukemia with convolutional neural networks. Nat Mach Intell 1, 538-544. DOI: 10.1038/s42256-019-0101-9
  • Schouten, J.P.E., Matek, C., Jacobs, L.F.P., Buck, M.C., Bosnacki, D., and Marr, C. (2021). Tens of images can suffice to train neural networks for malignant leukocyte detection. Sci. Rep. 11, 7995. DOI: 10.1038/s41598-021-86995-5
  • Matek, C., Schwarz, S., Marr, C., & Spiekermann, K. A single-cell morphological dataset of leukocytes from AML patients and non-malignant controls (AML-Cytomorphology_LMU).