263 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Switzerland
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Universität Basel Postdoctoral Researcher (80% FTE) more arrow_right_alt 100%16.02.2026 Universität Basel Professor in English linguistics (open-rank) more arrow_right_alt 100%16.02.2026 Universität Basel
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Professor in English linguistics (open-rank) more arrow_right_alt 100%16.02.2026 Universität Basel Professur für Englische Sprachwissenschaft (open-rank) more arrow_right_alt 60%16.02.2026 Universität Basel
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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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
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for a passionate sales professional with a business developer’s mindset to help us do so. In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value
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, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
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for key program deliverables. Drive the development of high-impact deliverables, such as the annual report and the Phase III Outline Proposal. Coordinate input across projects, synthesize insights, and
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frames). Project background The work focuses on data-driven generation of structural systems. You will be involved in developing, experimenting with, and evaluating machine learning models that help
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1-year fellowship in Shoebill Conservation Genetics with support for a further 3-year PhD fellowship
University and University of Zambia. Practical work involves visits to remote Shoebill nests and help at the conservation facility in Bangweulu Wetlands, wet lab work, bioinformatics, population genetic
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore