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Description of the offer : The project deals with the newly found material class of altermagnets and magnetic kagome systems, structures that behave two-dimensionally much alike van-der-Waals materials, but with broken time reversal symmetry due to magnetic ordering. The aim is to study the...
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and work in an international team of experts from different disciplines such as proton therapy, computer science, applied mathematics, detector physics and medical physics. We are currently looking
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acquisition of teaching experience. Requirements: Completed scientific university degree in meteorology, physics or mathematics; Doctoral degree in atmospheric or climate sciences. Desirable: Experience in
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for a period of two years and can be renewed for another two years. The successful candidate should have a Master's degree in computer science or mathematics. Since the position involves teaching
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cognitive science and computational neuroscience to solve challenging scientific problems Strong mathematical and analytical skills Very good command of the English language For postdoctoral researchers: PhD
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or scientific work. What you bring to the table Interest and good knowledge in computer science, mathematics, or engineering Good knowledge in modern software development and programming with Python or comparable
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-responsible scientific research Good language skills in English Communication and cooperation skills. Especially suitable for students with the field of study in computer science, mathematics or similar areas
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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | 1 day ago
modern Fortran, C or C++ together with MPI, OpenMP and GPU programming models Some experience with High Performance Computing, e.g., profiling applications A PhD in Physics, applied Mathematics
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engineering or scientific studies in electrical engineering, physics, mathematics or a similar discipline First experiences in multiphysical FEM simulation (electrical, mechanical or acoustic), numerical design
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, physics, computer science, mathematics, electrical/electronic engineering or a related subject Strong programming skills (Python) Familiarity with machine learning and deep learning frameworks (e.g