244 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions in Germany
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soon as possible. The position is within the Math+ project "Anisotropic microfluids -- fluctuations, control, effective models and their numerics “. Here, we study anisotropic microfluids and the effect
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propose to combine machine learning techniques with formal methods. We will focus on safe reinforcement learning of motion planning problems for autonomous vessels. Motion planning is particularly
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. About the project This position is embedded in the RIVIERADE project (IMPROVING MODELLING METHODS TO PRODUCE CLIMATE SERVICES FOR RESILIENT EUROPEAN SEAS AND COASTS IN A DECADAL TO MULTI-DECADAL HORIZON
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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the chemical composition and evolution of the disc, and will perform numerical simulations of planet formation to constrain the formation of terrestrial planets in the solar system. The candidate is further
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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Nexus program) for five years starting 01.01.2026. We are seeking a motivated Postdoc (m/f/d) to join the team: The de Bakker group studies the molecular causes of brain aging using the short-lived
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Germany Application Deadline 15 Oct 2025 - 21:59 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Geosciences
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 1 day ago
to advance multiscale biological discovery using interdisciplinary approaches including innovative, cutting-edge mathematics, physics, and computation. Currently about 500 employees from over 50