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on the structure and dynamics of ring polymers in different topological environments, providing experimental evidence for phenomena predicted by theory and computer simulations. Small-angle neutron scattering (SANS
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funded by the German Federal Ministry of Research, Technology, and Space (BMFTR) under the topic focus “Deep geothermal energy ” within the program “Geoscience for Sustainability (GEO: N) ”. The aim
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 5 hours ago
, researchers from the fields of biology, chemistry, physics, and medicine collaborate across disciplines, supported by high-performance service facilities and a modern research infrastructure. As the largest
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Job Advertisement 2026-04 At the Leibniz Institute of Atmospheric Physics (IAP), a part-time position (75%) in the Department “Optical and Rocket Soundings” is available as PhD Student, Multi
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geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., MATLAB, Python, C/C++) Advanced knowledge
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» Biology Physics » Biophysics Chemistry » Biochemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 4 May 2026 - 23:59 (Europe/Berlin) Country Germany Type
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from computational engineering and computer simulation (such as the finite element method and constitutive materials models) to represent and exploit relationships along the composition-process-structure
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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on soil physics, plant modeling, and multiscale simulation frameworks Present research results at scientific meetings and publish findings in peer-reviewed journals Your Profile: Master’s degree
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
profile # Ph.D. in the field of Physics, Chemistry, Computer Sciences or Applied Mathematics or related field # Background in mathematical surrogate modeling and machine learning # Experience or familiarity