Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- ETH Zürich
- Empa
- Paul Scherrer Institut Villigen
- Nature Careers
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Zurich
- Adolphe Merkle Institute
- Ecole Polytechnique Federale de Lausanne
- HES-SO Genève
- EPFL
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Friedrich Miescher Institute for Biomedical Research
- Idiap Research Institute
- Inselspital Bern
- School of Architecture, Civil and Environmental Engineering ENAC, EPFL
- University of Geneva
- University of Zurich, Institute of Education
- Università della Svizzera italiana (USI)
- 10 more »
- « less
-
Field
-
datasets The position is limited to two years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctoral position: Innovation economics and policy for climate
-
. This international PhD is part of the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Your profile Qualification and specific competences required Master's degree
-
27 Feb 2026 Job Information Organisation/Company Paul Scherrer Institut Villigen Research Field Physics » Computational physics Researcher Profile Established Researcher (R3) Positions Postdoc
-
regeneration and biomimetic tissue replacement, gene and cell therapy, stem cell biology and cancer, and translational neuroregeneration. Your responsibilities • Design, execute and lead a research project
-
of electron spin pairs in chiral molecules created by light using diamond-based quantum sensors. Spin dynamics of these radical pairs are central both in biology and for quantum information science applications
-
25 Mar 2026 Job Information Organisation/Company University of Basel Research Field Biological sciences » Other Chemistry » Biochemistry Researcher Profile First Stage Researcher (R1) Application
-
years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems
-
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
-
dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and