Sort by
Refine Your Search
-
Listed
-
Employer
- University of Basel
- ETH Zürich
- Empa
- Paul Scherrer Institut Villigen
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- CERN - European Organization for Nuclear Research
- Ecole Polytechnique Federale de Lausanne
- Ecole Polytechnique Federale de Lausanne - EPFL
- Prof. Dr. Ricarda Toerner
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
- University of Applied Sciences Northwestern Switzerland
- École Polytechnique Fédérale de Lausanne (EPFL)
- 2 more »
- « less
-
Field
-
-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up
-
-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up
-
niches. Building on our experience in cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche interactions to reveal how distant sites
-
nano-scale objects Designing and building a coherent low-energy electron microscope Sample preparation and recording holograms Numerical reconstruction of the sample structure Presenting the results
-
Your position Biomolecular dynamics, such as conformational changes, are the understudied link between biomolecular structure and function. Single-molecule FRET is an established technique, unique
-
of printed biosensors while the other will address the embedding of sensors in 3D printed fluidic micro-structures. Context This project is funded in the framework of the Swiss National Science Foundation (SNF
-
in the global carbon cycle and have the potential to mitigate greenhouse gas emissions by oxidizing methane, even at atmospheric concentrations. The research will investigate how interactions between
-
structure-performance relationships for catalysts for the hydrogenation of CO2 to higher alcohols (such as ethanol). The role of this specific PhD position will be the development of model catalysts and their
-
interactions and their integration with wider energy networks. Your tasks The focus of this research is to design and develop (physics-informed) hierarchical graph neural network architectures that can capture
-
Perform experiments in PSI laboratories and at synchrotron radiation facilities, data processing and analysis Optimization and automation of reaction parameters, correlation of the structural data with