33 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions in Portugal
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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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develop your own research ideas and apply for third party funding Contributions to teaching within the Engineering Geology group are also expected Profile Masters degree in Computer Vision, Data Science
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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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Übersicht Doctoral Student in Operational Decision Making with Data Science 100%, Zurich, fixed-term Drucken The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürich is seeking a
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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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, Computer Vision, Computer Science, Neuroscience, Health Science, Biomedicine, Physio- or Occupational Therapy, or a related field. Understanding of study design, scientific methods, and statistical
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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