196 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "IFM" uni jobs in Switzerland
Sort by
Refine Your Search
-
Listed
-
Employer
- ETH Zurich
- University of Basel
- Nature Careers
- ETH Zürich
- Empa
- HES-SO Genève
- University of Zurich
- CERN
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Graduate Institute of International and Development Studies, Geneva;
- Paul Scherrer Institut Villigen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- 2 more »
- « less
-
Field
-
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
-
-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
-
industry and other academic institutions within the consortium. After completing the program, you will have a thorough understanding of the process from research via innovation to industry implementation and
-
convective heat transfer with the surrounding air. Within our research group at ETH Zurich, we are developing computational workflows for predicting temperature fields in machine tools using computational
-
scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
-
, including space agencies, you will ensure projects are completed on time, within scope and budget, and consistent with ETH rules and policies. As part of your role, you will: Plan and manage complex space
-
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
-
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
-
, observational and laboratory techniques, comparative planetology or the involvement, development and leadership in space missions. The successful candidate's research program will constitute a defining part of
-
-dimensional biological datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental scientists to translate computational findings into biological insight