Sort by
Refine Your Search
-
Listed
-
Employer
- ETH Zürich
- Empa
- University of Basel
- Ecole Polytechnique Federale de Lausanne
- Universität Bern
- ZHAW - Zurich University of Applied Sciences
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- Academic Europe
- CERN - European Organization for Nuclear Research
- Ecole Polytechnique Federale de Lausanne - EPFL
- Prof. Dr. Ricarda Toerner
- University of Applied Sciences Northwestern Switzerland
- University of Bern
- University of Zurich
- 4 more »
- « less
-
Field
-
thoroughly analyzed with state-of-the-art theoretical models and published fully open access. The aim of our research is to advance the fundamental understanding of electrical insulation and current
-
learning to explore complex quantum systems, opening doors to advancements in fields like materials science and quantum chemistry. Similarly, quantum physicists are exploring the use of quantum effects
-
of cardiac tissue is rapidly progressing field, continually striving to create functional tissue models that closely replicate the structure and organisation of natural cardiac tissues. Bioprinting, in
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position: Spatio-temporal causal modeling of shared EV demand ETH Zurich is one
-
, physiology, genomics, transcriptomics, and computational modeling, we aim to (i) determine whether a newly discovered assemblage of diatoms of the genus Diploneis from Lake Tanganyika has diversified through
-
within a Research Infrastructure? No Offer Description PhD position on In-situ characterization and Digital Modeling of Li-Ion Batteries We offer a PhD position on "In-situ characterization and Digital
-
lack of rapid tools to understand and monitor the spread of pathogens. Building on our previous work on DNA tracing technologies, we aim to develop tools and procedures to model and monitor the spread
-
releases its client proteins remain elusive due to the complex and dynamic nature of these processes. This doctoral project aims to unravel these mechanisms by combining two cutting-edge techniques: NMR
-
develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent
-
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