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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning
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of health and disease. As a postdoctoral researcher, you will become part of a young team investigating cancer stem cells and the molecular mechanisms of their regulation, a promising and dynamic field
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mathematical modelling as well as observational cohorts with biobanks. The Disease Modelling Unit is currently looking for a Postdoctoral researcher in Climate Change and Vector Borne Diseases (80-100%). We
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/postdoctoral-research… Requirements Research FieldCommunication sciencesYears of Research Experience4 - 10 Research FieldComputer scienceYears of Research Experience4 - 10 Additional Information Website
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The Digital Humanities Lab at the University of Basel is looking for a research assistant (with a doctorate) as of 1st September 2025 or earlier/later by arrangement. The Digital Humanities is an interdisciplinary institution at the University of Basel. Its task is to coordinate and promote...
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protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover hidden links in the dark proteome. At the SIB Swiss Institute
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protein binders, investigate the effects of mutations on protein structure and function, and apply protein representation learning to uncover hidden links in the dark proteome. At the SIB Swiss Institute
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. Founded in 1460, the University of Basel is the oldest university in Switzerland and has a history of success going back over 550 years. The institute invites applications for a postdoctoral position as
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staff position within a Research Infrastructure? No Offer Description The Seminar for Near and Middle Eastern Studies at the University of Basel is offering up to four fully-funded one-year postdoctoral
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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