Sort by
Refine Your Search
-
Listed
-
Employer
- ETH Zurich
- University of Basel
- Nature Careers
- ETH Zürich
- Empa
- HES-SO Genève
- CERN
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Graduate Institute of International and Development Studies, Geneva;
- Paul Scherrer Institut Villigen
- School of Architecture, Civil and Environmental Engineering ENAC, EPFL
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Zurich
- 3 more »
- « less
-
Field
-
. 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
-
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
-
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
-
at the Department of Biosystems Science and Engineering (D-BSSE) of the ETH Zurich in Basel invites exceptional candidates to apply for a PhD position in pioneering projects developing synthetic biology-inspired
-
at the Department of Biosystems Science and Engineering (D-BSSE) of the ETH Zurich in Basel invites exceptional candidates to apply for a postdoctoral position in pioneering projects developing synthetic biology
-
, development stages, and silvicultural practices) is essential for this role. The project will be carried out in a collaborative environment between the two research groups, providing extensive technical support
-
postdoctoral researcher with a strong background in sequence bioinformatics, algorithms and data structures. The successful candidate will join an interdisciplinary effort developing innovative diagnostic
-
on building robust prototypes that can operate in real production environments. Job description Design and implement AI-based decision-support systems for manufacturing applications Develop LLM-based
-
As part of the MALOQ project, you will train state-of-the-art ML models to learn atomic, electronic, and vibrational properties of large-scale atomic systems representing the building blocks