Nicky McGranahan kicking off the last day showing the evolutionary history of metastasis. Amazing data and analysis.

Very dynamic poster sessions at the late summer school on tumor heterogeneity and treatment followed by a rooftop party. Thank you @mdc-bimsb.bsky.social for hosting us!

Thank you, Anton for your inspiring talk!!!

Great talks from PhD students Tancredi Massimo Pentimalli, Adila Apsara: and Siddharth Annaldasula!

Efrat Shema kicking off today’s program with a lecture on epigenetics and single cell methods.

Final session for today: Sven Nelander discusses how patient specific models combined with advanced molecular biology and large scale computation allow for a better understanding of CNS cancers.

We continue with Ido Amit who shows how single cell approaches allow to improve immune therapy and Anton Henssen introducing us to the world of extrachromosomal DNA and how this relates to tumor heterogeneity. Fascinating!

Definitely

We continue with Ido Amit who shows how single cell approaches allow to improve immune therapy and Anton Henssen introducing us to the world of extrachromosomal DNA and how this relates to tumor heterogeneity. Fascinating!

First session: Uli Keilholz of the comprehensive cancer center on how complex data and models are now used in the clinics, and Heiko Enderling on modeling approaches. Both show excellent examples on how computation already now is impotent for clinical decisions, and how it will be in future.

Kicking off today’s Late Summer School on tumor heterogeneity and treatment resistance with an amazing program. Great to see a huge turnout!

3 more days to apply!!!

Exciting line-up for our CompCancer colloquium for spring/summer 2025:
- March 26th: Helen Byrne, Oxford
- April 30th: Altuna Akalin, Berlin
- May 14th: Florian Markowetz, Cambridge
- June 16th: Sohrab Shah, New York
4pm, Maud Menten room, 3rd floor, House 18, Philippstr. 13, 10115 Berlin

For more information on CompCancer, its faculty and its current PhD students, please see: comp-cancer.de
Upload your application here: tinyurl.com/compcancer
Legally binding information can be found here: karriere.charite.de/en/job-vacan...

We offer a lively research environment with 25+ PhD students, close and interdisciplinary supervision, access to several world-class institutions, and the option to choose between different graduation paths. Positions are funded at a rate of 75% E13 TV-ÖD and are initially limited to 3 years.

You have a very good Master’s degree in biology, physics, bioinformatics, computer science, or a related field and have a passion for developing and applying computational methods important for cancer research, ranging from modelling of cellular states to single-cell omics and image analysis? Apply!

PhD students in CompCancer develop innovative methods in these fields to address current challenges in personalized drug therapies, tumor heterogeneity and therapy resistance.

Our graduate programme on Computational Methods in Cancer (CompCancer) is jointly run by leading institutions of Berlin: Charité (Berlin’s medical school), Humboldt Universität, the Max Planck Institute of Molecular Genetics, and the Max Delbrück Center for Molecular Medicine.

Join our interdisciplinary graduate programme encompassing experts in Systems Biology, Molecular Pathology, Clinical Oncology, Bioinformatics, and Computer Science, to develop the next generation of AI-driven tools in oncology in a lively and multicultural city?

👉 4 PhD positions in Computational Cancer Research in Berlin

Do you want to do your PhD in cutting-edge computational cancer research? Do you want to develop the next generation of AI-driven tools in oncology in a lively and multicultural city?

Join CompCancer for a PhD! Call now open, apply until 7th of March!
About the programme: comp-cancer.de
Apply here: karriere.charite.de/stellenangeb...

New paper by CompCancer student Rosario Astaburuaga on a new method to remove unwanted covariance from Cytof data! Congratulations

Congratulations to CompCancer PhD student David to his new paper in Molecular Systems Biology!