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control (MPC) under uncertainty for autonomous systems. The research aims to develop state-of-the-art numerical methods for solving challenging belief-space optimal motion planning problems and their
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structure of magnetized fluid models as well as an understanding of the physics behind such models. A prior knowledge of matrix hydrodynamics and structure-preserving numerical methods. You will need strong
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analysis, differential geometry, computational methods for stochastic (partial) differential equations, random fields, programming, mathematical statistics. What you will do You are expected to develop your
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%). You will work on the extension of the DUNE-FEM package to support computations on GPU hardware with various types of Finite Element methods. This work is embedded in a research project considering
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to support computations on GPU hardware with various types of Finite Element methods. This work is embedded in a research project considering structure preserving Finite Element methods for multiphase flows
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mathematics Appl Deadline: (posted 2025/12/11, listed until 2026/01/16) Position Description: Apply Position Description Postdoc in Algebra-Geometric Foundations of Deep Learning or Computer Vision KTH Royal
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contribute to grant applications, establishing a great foundation for the next step in your academic career. About us The Department of Computer Science and Engineering at Chalmers and University
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by building a social network in their new hometown, https://www.sdcn.se/ . Project description We are seeking a postdoctoral fellow to contribute to the Manticore Digital Twin of the Universe program
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on processing and analysis of metabolomics and exposomics data, covering both method development and applications. Background The systems medicine research group at Örebro University (https://www.oru.se/english
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be on development of novel computational methods for gaining fundamental insights into healthy and diseased human tissues and immune cells of the heart, cardiovascular system, and gastrointestinal