19 machine-learning "https:" "https:" "https:" "https:" "The Open University" uni jobs at University of Basel in Switzerland
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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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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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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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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
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synergies, jointly expand the range of courses on offer, provide high-quality teaching, and enable students to gain innovative cross-border and intercultural learning experiences in the field
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-impact resource that improves mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values (https://www.unibas.ch/en/Research
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-quality teaching, and enable students to gain innovative cross-border and intercultural learning experiences in the field of sustainability. You will recognize and exploit the potential of these networks
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mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity.html ), we
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. The position is available from 1 February 2026. The initial contract will be for one year. For more information on research in the Hondele lab see: https://www.biozentrum.unibas.ch/research/research
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tools, and secure data pipelines to advance pediatric healthcare. We work at the intersection of clinical medicine, machine learning, and data-intensive research, collaborating closely with hospitals