133 computer-programmer-"Diamond-Light-Source"-"Diamond-Light-Source" positions at ETH Zurich in Switzerland
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80%-100%, Zurich, fixed-term The Functional Genomics Center Zurich (FGCZ) is a joint state-of-the-art research and training facility of the ETH Zurich and the University of Zurich. With the latest technologies and key expertise for omics research, the FGCZ provides research services and project...
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, microfluidics, patient samples, microscopy, in vivo models, genome engineering, single-cell analysis, and computational and molecular biology to elucidate the inner workings cancer cells and adult stem cells. Job
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Postdoctoral Position 100%, Zurich, fixed-term 05.09.2025 | Center for Robotics RobotX PhD Program 100%, Zurich, fixed-term 05.09.2025 | Center
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The PhD position is part of an interdisciplinary research project at the intersection of robotics and biomedical engineering, conducted in close collaboration with neurosurgeons from the University Hospital Zurich, biomedical engineers and veterinarians from the University of Zurich, as well as...
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100%, Zurich, fixed-term The Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in modeling fracture in soft
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of computational and statistical genomics, and bioinformatics. Cattle are an interesting «model organism» to study inherited genetic variation and the molecular-genetic underpinnings of complex traits and dieseases
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, for preclinical testing of engineered circuits where relevant; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly
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engineering, computer science, data science, or a closely related discipline Have an excellent academic record Have strong analytical skills Be passionate about sustainability, energy, and public policy Be
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circuits where relevant; collaborating closely with molecular biologists, computational modelers, and clinical and preclinical research partners; documenting results clearly and contributing to publications
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the field of Computer Science or similar Solid background in the foundations of reinforcement learning Proven research experience with first-authored publications at peer-reviewed conferences (ICML