164 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Nature Careers in Germany
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. YOUR RESPONSIBILITIES Develop an original research program that leverages unique numerical experiments to test different hypotheses or uncover novel mechanisms Supervise doctoral and postdoctoral
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Reference number: 2025-0175 Our lab studies how neurodevelopmental principles underlie pediatric cancer formation. We investigate the underlying genetic programs of normal development to dissect how
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W3-Professor or W2-Professor with tenure track to W3 for Theoretical Physics – Relativistic Astrophy
, astronomy and/or computational physics. These activities should be strengthened and expanded, in particular with respect to coordinated funding programs, while additional, new initiatives are welcome
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, or biomolecular systems. The research program should connect to the wider Bonn science landscape and should facilitate close collaborations within the Department and the university’s Transdisciplinary Research
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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Programming experience (preferably C, C++, Python) Knowledge of circuit board design and hardware development Manual skills and experience with machine tools Experience with hydraulic systems and their control
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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and clinical translation. Supported by the Carl Zeiss Foundation , an ERC Starting Grant , and the DFG Emmy Noether Program, our lab provides a highly collaborative and interdisciplinary environment
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g