144 professor-computer-"https:"-"https:"-"https:"-"https:"-"Universidade-do-Minho" positions at ETH Zurich
Sort by
Refine Your Search
-
Instruction and the research lab here . You can also contact Professor Dr. Martina Rau (martina.rau@gess.ethz.ch ) with questions about the position. Please submit the following application documents using
-
for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
-
abnormal noradrenergic signaling. In close collaboration with the University of Oxford, we combine cutting-edge computational modeling of human behavior with pupillometry and functional magnetic resonance
-
100%, Locarno, fixed-term Recent advances in AI-based weather prediction have demonstrated remarkable skill and computational efficiency. However, most current machine-learning weather prediction
-
findings into technical improvements (e.g., new embedding methods, agent architectures, prompting strategies) Publishing research results in leading venues in artificial intelligence and computational social
-
close collaboration with courts and partners across Switzerland. We are looking for Research Assistants (Law, Computer Science, or related fields). Job description We are looking for highly motivated
-
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
-
and professionals across emerging areas like machine learning, cyber security, climate risk, distributed ledger technology, and quantum computing and translates that expertise into integrative research
-
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
-
-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