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- University of Basel
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- Prof. Dr. Ricarda Toerner
- Swiss Federal Institute for Forest, Snow and Landscape Research WSL
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- École Polytechnique Fédérale de Lausanne (EPFL)
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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
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element modeling, computational fluid dynamics). Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization. Experience in supply chains and hygrothermal
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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
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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
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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
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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
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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
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interactions and their integration with wider energy networks. PhD Position in Hierarchical Graph Neural Networks for Multi-Scale Urban Energy Systems Your tasks The focus of this research is to design and
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leadership skills. Strong coding skills. Ability to collaborate and establish positive interactions with a widely diverse group of people from different backgrounds, countries, ethnicities, genders, etc
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well as the disassembly or reassembly of the materials into new composite structures. We envision that the generated knowledge will advance the field of bio-based and sustainable material technologies and contribute to new