229 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs in Switzerland
Sort by
Refine Your Search
-
Listed
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- Nature Careers
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Zurich
- Academic Europe
- Empa
- Swiss Federal Institute of Technology Lausanne, EPFL
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- ETH ZURICH
- GRADUATE INSTITUTE
- Graduate Institute of International and Development Studies, Geneva;
- UNIVERSITY OF ST GALLEN
- University of Geneva
- University of Lausanne;
- Université de Genève
- 7 more »
- « less
-
Field
-
a highly committed multidisciplinary team Regular meetings and close collaboration with the project partners Enrolment in the PhD program of ETH Zürich ETH Zürich is a family-friendly employer with
-
Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
-
80%-100%, Zurich, fixed-term We are seeking a talented Research Engineer with strong expertise in Computer Graphics, physically-based simulation, and high-performance implementation. In this role
-
The NOMIS Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster
-
of research funding and policy. You will collaborate with leading researchers, research programme managers and policy experts and contribute directly to the effectiveness of the ERC’s evaluation processes
-
energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
-
, ACHIEVE consortium The primary focus of this role is to serve as the Knowledge and Technology Transfer (KTT) Expert within the ACHIEVE consortium as part of the SWEET funding programme of the Swiss Federal
-
of interdisciplinary research, teaching, and innovation projects Drive the growth of the membership program, talent pipeline, and spin-off initiatives Manage internal teams and ensure the effective functioning
-
agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
-
Group: Analytics & Informatics for Child Health (AICH) Starting date: As soon as possible or upon agreement Duration: 2 years, with possibility of extension The Analytics & Informatics for Child