151 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "Inserm" positions at ETH Zurich in Switzerland
Sort by
Refine Your Search
-
psychologists, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU
-
80%-100%, Zurich, fixed-term The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in
-
scientific publication. Source Data extraction from PDF documents to compile metadata of projects funded under ETH Board Open Research Data (ORD) program Contribute to data packages generated by openwashdata
-
for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
-
of the student's PhD thesis. The PhD program at D-USYS (Department of Environmental Systems Science), ETH Zürich typically lasts three to four years on average. PhD students usually have to conduct research, study
-
, we plan to study atmosphere/ocean interactions at multiple spatial resolutions, and investigate consequences for tropical cyclones, clouds and precipitation and how they depend on spatial resolution
-
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%, 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
-
that are transferable to a broader landscape of opportunities. You will have the opportunity to visit industry and other academic institutions within the consortium. After completing the program, you will have a thorough
-
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