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to departmental activities, as well as the standard teaching, grading and mentoring duties. Profile Candidates should have (or be near completion of) a PhD in mathematics with an excellent research track record
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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve
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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
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selection process with applications accepted year-round. Eligibility requirements: Candidates should hold a PhD degree in computer science, data science, mathematics, physics, statistics, or electrical
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transduction, cell culture, and immune functional assays; supporting the development of in vivo models, such as adoptive T-cell transfer in mice, for preclinical testing of engineered circuits where relevant
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one of the programmes. It is home to a community of over 100 PhD, postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure systems
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with exam grading. - The anticipated start date is 1 September 2025 (earlier start dates can be considered). - A PhD in Mathematics (completed by the start date) is required. Please submit your
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University of Basel, Condensed Matter Theory and Quantum Computing Position ID: University of Basel -Condensed Matter Theory and Quantum Computing -POSTDOC [#21540] Position Title: Position Type: Postdoctoral Position Location: Basel, Basel-Stadt, Switzerland [map ] Subject Area: Theoretical...
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and policy choices Effects of intergovernmental fiscal transfers Fiscal decentralization and residential sorting The work might be based on theoretical modelling and/or empirical analysis. Profile
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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