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of Mathematics and Computer Science (DMI). This position is a key part of the University's AI initiative, aimed at bolstering our leadership in AI and Deep Learning. The role will significantly enhance
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The University of Basel invites applications for a Professorship in Deep Learning to join the Department of Mathematics and Computer Science (DMI). This posi- tion is a key part of the University's
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methods. Excellent mathematical/analytic skills. Strong self-motivation. Strong commitment to collaborate and work in a diverse research team. Highly desirable qualifications: Prior experience with
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rheological analyses of the biofilms and mathematical modelling, with the potential to reveal fundamental principles of biofilm resilience. Job description Experimentally investigate nonlinear rheology and
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The Department of Biomedicine is a joint effort between the University of Basel and the University Hospitals Basel. It unites basic and clinical scientists to advance our understanding of health and disease and to develop pioneering therapies benefiting the lives of patients in areas of unmet...
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. Profile Applicants must hold a M.Sc. Diploma (120 ECTS points) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields
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-funded project on AI-assisted programming interfaces. The research explores new ways to support computational thinking and mathematical reasoning through alternative representations of code, such as prose
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Mathematics » Applied mathematics Physics » Computational physics Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 5 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job
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University of Geneva, School of Mathematics Position ID: 3439-PASTPAS [#26738] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Genève, Geneve 1211, Switzerland [map
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engineering Strong background in computational science, applied mathematics, or computational biology Ideally, familiarity with numerical methods for PDEs (e.g., finite difference, finite element) HPC