Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, real-time control of therapeutic protein expression and metabolic regulation. Leveraging innovative platforms such as direct-current-actuated regulation, electromagnetic programming of wireless
-
programming work (if available) Further information about the ETH AI Center and the Swiss AI Initiative can be found on our website . Questions regarding the position should be directed to Dr. Imanol Schlag
-
translational development, we aim to shape the future of biomedical innovation. Job description Postdoctoral projects will combine molecular engineering, cell programming, and chemical–biological
-
development, we aim to shape the future of biomedical innovation. Job description PhD projects will combine molecular engineering, cell programming, and chemical–biological interfacing to engineer human
-
propagation, photonics, or semiconductor physics Experience with scientific programming and data analysis (Python, MATLAB, or similar) Motivation to combine computational modeling with experimental
-
programming in Python, and comfortable working with version control (git) in a collaborative codebase Fluent, critical use of AI-assisted tools in research and code development, we treat these as part of
-
surrounding exoplanet habitability, biosignatures and the search for life Strong scientific programming skills; experience with radiative-transfer, photochemical, climate or general-circulation models is
-
of the research areas above, ideally including work on real hardware The ability to lead research independently and the motivation to mentor students Strong programming skills; experience with robotics
-
have experience implementing scientific code and assessing computational results through validation, verification, and quantitative comparison with reference data. You have prior programming
-
, Machine Learning, Medical AI, Biomedical Informatics, Computational Biology, or a related field Strong programming skills in Python and modern ML frameworks Experience with deep learning and large