330 computer-"https:" "https:" "https:" "https:" "KU LEUVEN" positions in Switzerland
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research in job-sharing. With its early-career fellowship program, the Collegium nurtures an environment for promising academics and artists at a critical stage of their career. The program supports
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Zürich. The candidate will work on the Empa Campus in Dübendorf and will be enrolled in the doctoral program of ETH Zürich. The position is available from 1st July 2026 (or later upon agreement). We live a
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the Study of Religion: 12 months Faculty of Law: 12 months Faculty of Business, Economics and Informatics: 12 months Faculty of Medicine: 12 months Vetsuisse Faculty: 12 months Faculty of Arts and
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datasets The position is limited to two years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep
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years. Profile University degree (MSc or PhD) in data science, computer science, physics or a related field Experience in training and validating large-scale deep-learning models on distributed systems
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
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-dimensional biological datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental scientists to translate computational findings into biological insight
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an internationally recognised, competitive research program sustained by external funding. Teaching experience at university level is expected. The candidate will teach at the Bachelor level and contribute
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One start-up scholarship (for 1 year) within the Department of Ancient Civilizations at the University of Basel The PhD program of the Department of Ancient Civilizations at the University of Basel
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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and