70 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at University of Basel
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25 Oct 2025 Job Information Organisation/Company University of Basel Research Field Computer science » Computer architecture Computer science » Other Researcher Profile Leading Researcher (R4
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optimization – with rigorous theoretical analysis. The ideal candidate has strong machine learning and AI expertise and is comfortable with – or eager to learn – large-scale multi-GPU experimentation
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Your profile We seek candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation
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between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
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field of European Archaeology (Ur- und Frühgeschichte) across teaching and research: The successful candidate will teach European Archaeology at both undergraduate and postgraduate level (BA, MA, PhD) and
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research group Plant Ecology and Evolution (https://duw.unibas.ch/en/ecoevo
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tutoring to hands-on teaching in state-of-the art technology, and joint summer schools. More information: www.nccr-antiresist.ch Application / Contact Please apply online by 15 January 2026: https
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competencies. Optional: A letter of support from your current institution. Please apply online by 15 January 2026: https://biped.biozentrum.unibas.ch/apply/fellowship-for-clinicians Review of applications will
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between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain is open to discussion. Project B – Understanding and Countering
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biosensor imaging, and behavioral pose estimation. The specialist will integrate multimodal datasets and apply advanced statistical and machine-learning methods to uncover relationships between gene