Sort by
Refine Your Search
-
Listed
-
Employer
- University of Basel
- Empa
- ETH Zürich
- ZHAW - Zurich University of Applied Sciences
- Academic Europe
- ETH Zurich
- Ecole Polytechnique Federale de Lausanne
- Paul Scherrer Institut Villigen
- Physikalisch-Meteorologisches Observatorium Davos (PMOD)
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Bern
- University of Berne, Institute of Cell Biology
- 2 more »
- « less
-
Field
-
Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Computational Design and Digital Fabrication of high-performance timber plate structures
-
of novel physics-guided AI algorithms for drug design, integrating physics-based modeling with state-of-the-art deep learning methods. The project will focus on creating a next-generation docking framework
-
Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
mountainous regions and torrential catchments.The Torrents and Mass Movements research group is looking for a candidate to start in May 2026or by agreement as a PhD student in the Design of Sustainable Sediment
-
collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
-
models to the design of sustainable processes in chemical engineering. To bridge the scale from molecules to processes, we apply state-of-the art mathematical concepts and tools combined with highly
-
, the work will focus on the design and fabrication of functional electrode coating materials (nano-enzymes) and surface architectures that enable reversible analyte binding, high signal stability, and
-
of electrochemistry. Your tasks The student will be involved in tasks such as Designing innovative electrode materials with precisely engineered nanostructures; Fabricating the electrode materials using micro
-
systems, and space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where
-
. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance, reliability, and availability of complex industrial systems while making maintenance strategies
-
Bern and Zurich to develop multi-compartments OOC systems integrating blood and lymphatic vasculature with key mechanical cues of the lung microenvironment Characterization: Design chips based