373 professor-computer-science-"https:"-"https:"-"https:"-"https:"-"Keele-University" positions in Switzerland
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22 Jan 2026 Job Information Organisation/Company HES-SO Genève Research Field Other Technology Researcher Profile Leading Researcher (R4) Application Deadline 28 Mar 2026 - 23:10 (UTC) Country
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Architecture and Geohistorical Practice, led by Assist. Prof. Aisling O’Carroll, is engaged in research and teaching activities on the Master of Science in Landscape Architecture (MScLA) program. The Chair
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) in the social sciences, as of 1st August 2026, or by arrangement. The position is embedded in a large interdisciplinary research project, ICARUS, that investigates individual vulnerability, behavioral
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The current era of artificial intelligence is predominantly driven by advances in computational power and infrastructure. As models scale to unprecedented sizes, their capabilities are enhanced
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institutions worldwide. Further information about Professorship for International Relations and Data Science can be found on our website. Questions regarding the position should be directed to Professor Dr
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published work , or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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, or contact Professor Martin Fussenegger by mail (martin.fussenegger@bsse.ethz.ch ). About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We
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, workshops, and events is also part of your responsibilities, as is serving as an interface between research and administration. Profile Completed university degree (PhD) in mathematics, computer science
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convince both by their relevance and originality, spanning from blue-sky research to applied science, as well as from fine arts to artistic research. The Collegium also encourages small interdisciplinary
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-scale geospatial and Earth system datasets, within the NCCR CLIM+ program. The role bridges climate science and AI, developing novel methods for climate data analysis, downscaling, and synthesis using