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, computer science, applied mathematics, statistics, physics, engineering, or a closely related field, completed or near completion. Demonstrated expertise in generative AI, such as diffusion models, flow matching
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challenges in fluid structure interaction (FSI) relevant to energy, process, and materials engineering, with a strong focus on: Advanced numerical modelling and simulation Experimental methods and sensor
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the approval process in AVA, the UZH third-party funding platform . To receive the confirmation letters in time, please start the approval process no later than 2 weeks before the deadline. In our factsheet
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in quantum physics. Our research is driven by a combination of addressing technological challenges and developing novel techniques for quantum control. The TIQI group is closely connected to the ETHZ
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To submit an application, you need a written confirmation from the research institution. At UZH, you will receive the confirmation letter via the approval process in AVA, the UZH third-party funding
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systems developed in the SAM3 project in terms of process-structure-mechanical property-function relationships. The candidate will be enrolled as PhD student at the Doctoral School for Materials Science and
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power density limits of such planar magnetic devices, you will develop multi-physics models of planar magnetics. These models will comprehensively describe the (HF) losses in the windings, the parasitic
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This is a highly interdisciplinary project at the interface of neuroscience, biomedical engineering, physics, electrical engineering, medical imaging, robotics, and translational medicine. Profile We
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100%, Zurich, fixed-term The Macromolecular Engineering Laboratory (Prof. Mark W. Tibbitt) within the Department of Mechanical and Process Engineering (D-MAVT) at ETH Zürich, Switzerland engineers
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structural alloys through defect engineering, with a particular focus on materials for extreme environments, including fusion energy and space applications. Our research combines theory, physics-based