209 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Technical University of Munich
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
work at international conferences, and publish in leading journals. Through its Graduate Centre and Talent Factory, TUM supports PhD students and Postdocs by providing a dedicated qualification program
-
Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid English-language skills. Experience with programming is highly
-
copies of official documents, as we cannot return your materials after the application process is complete. For more detailed information, please visit our Homepage: https://www.epc.ed.tum.de/td
-
participate in the Doctoral Program of the TUM School of Management • Support and collaborate on third-party funded research projects Your profile... • Completed (or close to completing) a Master’s degree or
-
earliest starting date is February 1, 2026. The successful candidate will be enrolled in the doctoral program of the Technical University of Munich. You can expect a dynamic and flexible work
-
of TUM. Kontakt: andre.stiel@tum.de More Information https://www.helmholtz-munich.de/en/ibmi/rg-ibmi-celleng
-
-organization. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence Master's degree (for PhD) or PhD (for PostDoc) in stem
-
)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: anja.boeckl@tum.de More Information https://www.arc.ed.tum.de/en/and
-
, dynamics, and interactions in complex environments and live mammalian cells. By combining ultra-high-field NMR with complementary biochemical, computational, and cellular approaches, the project will
-
dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational