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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
PhD student (m/f/d) in the field of mathematics, scientific computing, physics or an engineering discipline with a proven strong focus on numerical methods Berlin Division 8.4: Acoustic and
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diverse research network spanning AI, computer science, mathematics, engineering, physics, and the life sciences. What we offer A structured three-year PhD program at the interface of AI and biomedical
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particular coastal research and climate research) are potentially of interest. Your profile You should have a master's degree in computational engineering, applied mathematics, computer science, or any other
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9 Sep 2026 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Mathematics » Statistics Biological sciences
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 29 days ago
program and offer cutting-edge PhD projects. Become part of this community! Your application Applicants should hold an MSc (or equivalent degree) with a strong background in physics, chemistry, mathematics
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Position Description The Cluster of Excellence Hausdorff Center for Mathematics at the University of Bonn looks forward to filling several PhD Positions The initial appointment will be for three (3
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You will work in a highly interdisciplinary research environment, with access to world-class nanofabrication and characterization infrastructure. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-3 and the research group in which this...
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skills Genuine interest in method development, and comfort with mathematical formalism A degree in physics is required for admission to the Heidelberg Graduate School for Physics (HGSFP). This is a formal
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 16 days ago
model systems. Your profile Master’s degree (or equivalent) in Physics, Applied Mathematics, Mechanical Engineering, or a related field Strong interest in fluid dynamics, turbulence, and nonlinear
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13