163 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL" positions at ETH Zurich
Sort by
Refine Your Search
-
for a passionate sales professional with a business developer’s mindset to help us do so. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value
-
frames). Project background The work focuses on data-driven generation of structural systems. You will be involved in developing, experimenting with, and evaluating machine learning models that help
-
100%, Zurich, fixed-term The Clinical Genomics team led by Dr. André Kahles at the Biomedical Informatics Lab (BMI Lab), headed by Prof. Gunnar Rätsch, at ETH Zurich, is seeking a highly motivated
-
environment and will support your transition into the spin-off phase. ETH Zurich also provides assistance with permit processes (e.g., B-Permit sponsorship) for international candidates. chevron_right Working
-
also provides assistance with permit processes (e.g., B-Permit sponsorship) for international candidates. chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability
-
Dr Daniel A. Richards and Professor Andrew J. deMello, in the Institute for Chemical and Bioengineering at ETH Zürich, are searching for two postdoctoral researchers to develop a diagnostic device
-
organised individual to support multiple experimental and computational research groups. The successful candidate will contribute to both a collaborative research network and institute-wide activities
-
-phonon coupling elements. With these, dedicated scattering rates can be computed and then used in quantum transport simulations. Down the line, we aim to pre-train a common GNN backbone model capable
-
100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
-
operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational