Sort by
Refine Your Search
-
Listed
-
Employer
- University of Basel
- ETH Zürich
- Empa
- EPFL
- Ecole Polytechnique Federale de Lausanne
- Universität Bern
- ZHAW - Zurich University of Applied Sciences
- Academic Europe
- ETH Zurich
- Ecole Polytechnique Federale de Lausanne - EPFL
- Paul Scherrer Institut Villigen
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Applied Sciences Northwestern Switzerland
- University of Bern
- University of Zurich
- École Polytechnique Fédérale de Lausanne (EPFL)
- 6 more »
- « less
-
Field
-
life sciences institutes. With 33 groups and 500 employees, we are a dynamic and international research community that has spawned many fundamental discoveries in biology and medicine as well as several
-
-agents for perception and communication. Candidates ideally have a background in computer science, electrical engineering, or related fields, and a strong interest in machine learning, optimization
-
Environments (GLORIA ) and the Mountain Invasion Research Network (MIREN ). Project description The biodiversity crisis is in part driven by invasive species, yet many non-natives are only recognized as invasive
-
of plant communities in alpine and arctic ecosystems. They will combine their own field observations in the European Alps and the Arctic with a novel microclimatic dataset and a large Europe-wide database
-
analytical and problem-solving skills with high scientific curiosity. Ability to work independently and in a collaborative, interdisciplinary environment. Excellent communication skills in English (both
-
. Our technological focus is thermal energy systems, sustainable carbon feedstock, and CO2 capture, utilization, and storage. Project background To achieve Switzerland’s net-zero climate target by 2050
-
crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
-
and flow field interactions Tuning of the CFD models with experimental results Artificial Neural Network training and development Scientific publications in journals and at conferences Supervision
-
communication and writing skills in English are mandatory. The ideal candidates are self-driven, think critically and are excited to collaborate within our diverse, interdisciplinary team. We offer Training
-
expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and tensor networks. These and other techniques will allow us to confront