Sort by
Refine Your Search
-
Listed
-
Employer
- University of Basel
- ETH Zürich
- Empa
- Paul Scherrer Institut Villigen
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- Academic Europe
- CERN - European Organization for Nuclear Research
- EPFL
- Ecole Polytechnique Federale de Lausanne
- Ecole Polytechnique Federale de Lausanne - EPFL
- Fluxim AG
- Prof. Dr. Ricarda Toerner
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Applied Sciences Northwestern Switzerland
- University of Zurich
- École Polytechnique Fédérale de Lausanne (EPFL)
- 6 more »
- « less
-
Field
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Soccer Analytics The Algorithms and Visualization
-
Simulation Framework The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational tools. Our group
-
: collaboration partners: J. Löffler, ETH Zürich; K. Klein, Universität Zürich; R. Müller, ETH Zürich, B. Schaller, Universitätsspital Bern) focusing on the development of advanced organotypic in vitro bone models
-
team from various backgrounds with a large knowledge base. We conduct research on Li-Ion batteries ranging from material development, structural analysis with x-ray techniques, to digital modeling and
-
standards. One crucial element to combat the endemic of healthcare-associated infections is being able to trace and track the transmission pathways of pathogens to develop effective interventions. There is a
-
. Empa is a research institution of the ETH Domain. Empa’s Laboratory of Biomimetic Membranes and Textiles develops novel smart fibers, textiles and membranes for body monitoring, drug delivery and tissue
-
disease and to develop pioneering therapies benefiting the lives of patients in areas of unmet need. With more than 70 research groups and 800 employees, the Department of Biomedicine is the largest
-
of adaptive radiation and associated key innovations in the evolution of freshwater diatoms. By integrating morphology, physiology, genomics, transcriptomics, and computational modeling, we aim to (i) determine
-
international economy. Develop and implement new forecasting and nowcasting models, and maintain reproducible code and data pipelines. Profile Excellent academic results and are motivated to produce high-quality
-
for sustainable mobility and the strategic placement of car sharing stations is crucial to maximize user adoption. Using causal effect estimation and spatially aware predictive methods, tools will be developed