19 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Basel in Switzerland
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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
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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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high standard of living and a rich cultural atmosphere. Application / Contact Please apply online: https://biped.biozentrum.unibas.ch/apply/dietschy_facility_spatial-transcriptomics Your application
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cellular biology. 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
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. • Familiarity with machine learning, dimensionality reduction, clustering, and statistical modeling. • Strong communication skills, interest in interdisciplinary work, and ability to train students and postdocs.
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Health (AICH) group develops AI/ML methods, digital tools, and secure data pipelines to advance pediatric healthcare. We work at the intersection of clinical medicine, machine learning, and data-intensive
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modern learned-model–assisted design workflows (e.g., structure prediction, inverse folding/sequence design, sequence scoring, and generative sequence/structure proposal tools) and hands-on experimental
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EUCOR and EPICUR is to exploit synergies, jointly expand the range of courses on offer, provide high-quality teaching, and enable students to gain innovative cross-border and intercultural learning
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intercultural learning experiences in the field of sustainability. You will recognize and exploit the potential of these networks for sustainability-related teaching at the University of Basel. In doing so, you