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Max Planck Institute for the Physics of Complex Systems | Dresden, Sachsen | Germany | about 11 hours ago
Bukov, Ashley Cook, Libor Šmejkal, and Alexander Wietek. Strong experimental groups are nearby, in particular in the neighbouring Max Planck Institute for Chemical Physics of Solids. To apply for a
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Max Planck Institute for the Physics of Complex Systems | Dresden, Sachsen | Germany | about 11 hours ago
. The Institute (http://www.pks.mpg.de ) provides a stimulating environment due to an active workshop program and a broad range of research activities ranging from the study of cold plasmas to biological physics
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Alexander Wietek. Strong experimental groups are nearby, in particular in the neighbouring Max Planck Institute for Chemical Physics of Solids. Interested? To apply for a position, please fill the online
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work Your Profile: Completed university degree (Master`s) in a subject with a strong focus on chemical engineering, e.g. process engineering, mechanical engineering, technical chemistry, relevant
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geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
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physics, as well as by committing to organizational and implementation-related tasks within the Excellence Cluster. Further information about the Excellence Cluster can be found at: http://www.ml-in
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-hardware Your Profile: Master and subsequent PhD degree in (astro-)physics, computer science, engineering, or other related fields, with a strong focus on numerical simulations Experience in the development
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-motivated researchers with good communication skills to join our research team. The postdoctoral researcher should have a Ph.D. in theoretical physics, applied mathematics, or a related field as
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11 Dec 2025 Job Information Organisation/Company Max Planck Institute for Biology Tübingen Research Field Biological sciences Chemistry Technology Physics Researcher Profile First Stage Researcher
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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring