Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ETH Zurich
- University of Basel
- Empa
- ETH Zürich
- Nature Careers
- Paul Scherrer Institut Villigen
- University of Zurich
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- Adolphe Merkle Institute
- CERN
- EPFL
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- HES-SO Genève
- Ecole Polytechnique Federale de Lausanne
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies, Geneva;
- 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)
- 12 more »
- « less
-
Field
-
received by 1 November 2025. Note: as an option, one of the four reference letters can be about teaching. For more details, please see the website: https://math.ethz.ch/fim/postdocs.html Application
-
and their response to major climatic variations during and after the last ice age. The successful candidates will develop high-resolution palaeoecological records of aquatic invertebrate assemblage
-
development for quantum key distribution and (2) TFLN circuit development for quantum enhanced precision measurements. This PhD project aims to further advance the nanofabrication of TFLN photonic circuits
-
. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
-
The successful PhD candidate will contribute to the scientific development, implementation, and evaluation of a mobile app. Working within a highly multidisciplinary team of psychologists
-
for such purposes in a wide spectrum of industries, with significant breakthroughs in computer vision, natural language processing, and intelligent control. This PhD project aims to develop foundation models (FMs
-
develops uniquely interdisciplinary design and history and theory research for landscape architecture. Through geohistorical practice, we integrate tools from natural sciences and humanities with those
-
. Empa is a research institution of the ETH Domain. The Laboratory for Building Energy Materials and Components develops advanced and/or low eco-impact, porous materials for insulation, sorption, and
-
innovative methods to leverage machine learning for numerical weather forecasting and climate modeling. Project background We are looking for a motivated Machine Learning Scientist to join the development team
-
subsequently into models of antibiotic responses, with direct relevance for drug development and patient treatment. We (boecklab.com ) are looking for a scientist who will define the computational backbone