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Description The Berlin Mathematical School is the graduate school of the Cluster of Excellence MATH+ ( http://www.mathplus.de ) and a joint endeavor of the mathematics departments
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Description The Chair of Applied Mathematics at the Faculty of Mathematics and Geography at the KU Eichstätt-Ingolstadt invites applications for a position as Doctoral candidate in Applied
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Universität Berlin (Department of Biology, Chemistry, Pharmacy; Department of Mathematics and Computer Science) and Max Planck Institute for Molecular Genetics . You have: an above-average master's or
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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Financing yes Type of Position Full PhD Working Language English Required Degree Master Areas of study Theoretical Physics, Physics, Applied Mathematics Description Description The PhD students will engage in
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Apr 2026 Financing yes Type of Position Full PhD Working Language English Required Degree Master Areas of study Theoretical Physics, Physics, Applied Mathematics Description Description The PhD students
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to explain biological phenomena and disease mechanisms by leveraging biophysical theory and mechanistic, mathematical modeling. Our interests include the inflammatory responses to infection, the organization
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-time basis for a duration of up to 3 years, with the possibility of part-time work. The position includes the opportunity to pursue a doctorate (PhD) at TU Clausthal. With these positions, we invite YOU
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
that allow the retina to successfully reconcile high energy demands with information processing capacity. We offer a structured PhD program with the opportunity to develop your individual skillset, intensive
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%) in Mathematics for the project “Quantized vortices and nonlinear waves” The CRC has been funded by the German Research Foundation (DFG) since 2015. Its goal is to analytically understand, numerically