23 computer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions in Portugal
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Übersicht PhD Position in Computer Vision Applied to Natural Hazards 100%, Zurich, fixed-term Drucken The Engineering Geology group at ETH Zurich (Prof. Jordan Aaron) is seeking a motivated and
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funded by the Swiss National Science Foundation and is conditional upon admission to the Doctoral Program at ETH Zurich. Workplace Workplace We offer The position is hosted in the Department of
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Labouesse and collaboration with Dr. Philipp Fisch. The position is funded by the Swiss National Science Foundation and is conditional upon admission to the Doctoral Program at ETH Zurich. Workplace
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, and human–computer interaction). We welcome candidates with a strong interest in fundamental research and, ideally, prior experience in VR research. The project duration is set for three years. Job
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decisive progress. Details on NCCR Genesis are available on its website https://nccr-genesis.ch . Job description The transition of the Earth from following its accretion into a habitable planet is
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platform , published in Nature Communications (https://www.nature.com/articles/s41467-020-18059-7), that enables localized, hyper-efficient delivery of therapeutic compounds to specific brain regions
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will be part of the NCCR CLIM+ programme which is funded by the Swiss National Science Foundation (SNSF). Project background The NCCR CLIM+ supports Switzerland in the transformation towards a climate
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doing basic research in areas such as: AI for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep
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multimodal clinical and laboratory-based data acquisition, collaboration with computer scientists, engineers, clinicians, and translational researchers across Europe, and insight into how digital health
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transport characterization Using first-principles calculations and machine-learning foundation models during the initial stage of the project to identify promising metastable compositions for experimental