Sort by
Refine Your Search
-
Listed
-
Employer
- ETH Zürich
- University of Basel
- Empa
- Ecole Polytechnique Federale de Lausanne
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- Academic Europe
- CERN - European Organization for Nuclear Research
- Fluxim AG
- Prof. Dr. Ricarda Toerner
- University of Applied Sciences Northwestern Switzerland
- University of Zurich
- 1 more »
- « less
-
Field
-
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
-
the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
-
PostDocs in the group to express and characterize enzymes, develop analytical assays, and engineer enzymes using cutting-edge experimental and computational tools. Within the framework of BiONiX, you will
-
the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
-
. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
-
anthropology and social science to biostatistics and mathematical modelling as well as observational cohorts with biobanks. The Environmental Exposures and Health Unit (EEH) of EPH is focused on research related
-
in physics-based modeling at multiple scales. We bridge the virtual to the real world by multi-parameter sensing and creating digital twins of heat-sensitive biological systems (food, humans) that can
-
scanning probe instrumentation fabrication of van der Waals heterostructures transport, optical spectroscopy, and quantum sensing experiments data analysis, modeling, and scientific communication
-
of systems. We develop methods to advance sustainable energy and chemical process systems from the molecular to the scale of the systems. Our work combines process analysis and system modeling to design
-
near-instantaneous proliferation of comb lines and new regimes of spectral control. Project background This project will combine advanced numerical modeling with laboratory demonstrations to explore