59 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Basel
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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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predict protein-protein complementarity, design artificial protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover
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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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-omics datasets Developing and maintaining reproducible, well-documented analysis pipelines Applying and adapting machine learning and AI approaches to biological questions Collaborating closely with
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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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research, you will teach students at the Medical Faculty, while also supervising postdoctoral researchers and PhD students. Additionally, the position includes the leadership and organization
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responses approximate human behavior. The project involves a collaboration between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain
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, computer literacy and motivation to further develop technical skills (e.g., programming), and a strong work ethic.
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, “Embodied Learning”, physical activity and sport in Developmental Disorders, and the cognitive effects of physical activity and sports in school settings. Our research group adopts a methodological approach