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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 4 days ago
# Completed university studies (PhD) in the field of Physic, Chemistry or a related field # Advanced and in-depth knowledge of electronic structure theory # Strong and highly developed expertise in density
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approaches with informed institutional analyses of capitalism, insurance finance, housing and welfare states while drawing on theories from Comparative Political Economy, historical and economic sociology
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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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of attoseconds to femtoseconds. The project will involve working with first principles time dependent density function theory (TD-DFT, as implemented in the Elk code) [1-3]. A background including experience in
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
Job Code: 01/2026 Job Offer from January 29, 2026 Applications are invited for a postdoctoral research position focused on the development of advanced computational and statistical methods
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. derivation, analysis, comparison of num. meth. and simulation approaches for PDEs Formal proofs, e.g., for convergence, existence & uniqueness of solutions Fast prototyping of new ideas in individual code
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of attoseconds to femtoseconds. The project will involve working with first principles time dependent density function theory (TD-DFT, as implemented in the Elk code) [1-3]. A background including experience in
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
and field settings Your Profile PhD in marine biology, bioinformatics, genetics, molecular ecology, or a related field Strong background in population genetic theory Proficiency in at least one
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state physics in its entire range. Job description: The position involves research and teaching in the field of theoretical physics, with a focus on condensed matter theory, in particular mesoscopic
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are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random network coding