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We are seeking a highly motivated and talented PhD student to join our team at the Institute of Environmental Engineering at EPFL (the Swiss Federal Institute of Technology Lausanne). The selected
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The University of Basel, Switzerland, invites applications for a PhD researcher position (100% FTE) for the project Aspirational Urbanism and the Recodification of Defiance (ASPIRA). The function
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic
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applications Multimodal data integration and prediction, including clinical, medical imaging, and sensor data (e.g. ECGs) The PhD student will have the opportunity to conduct both methodological and applied
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. Empa is a research institution of the ETH Domain. Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will work in
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100%, Zurich, fixed-term The research group for Chemical Biology and Molecular Imaging (Frei Research Group ) at ETH Zurich is looking for a doctoral researcher to develop chemistry inspired tools for advanced fluorescence microscopy and then use the tools to study dynamic cellular processes....
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100%, Zurich, fixed-term We are seeking for a curious and motivated PhD student to join our optomechanics team and work at the interface between integrated photonics /nanophotonics and optical
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100%, Zurich, fixed-term The Robotic Materials group is looking for a highly motivated PhD candidate for the topic of sustainable robotics. The Robotic Materials group headed by Prof. Hedan Bai
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) project, we are looking for a motivated and experienced PhD candidate to perform consumer flexibility aware planning of multi-energy districts. A particular focus lies on the modelling and optimization