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The TUM School of Computation, Information and Technology at the Technical University of Munich (TUM) welcomes applications for a PhD or Postdoc Position (m/f/d, 100%, 2 years+) in Numerical Mathematics
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the integration of robotic systems equipped with adaptive grasping mechanisms and advanced locomotion strategies, enabling them to navigate and interact with complex geometries in microgravity environments
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photorealistic game worlds. To achieve this goal, we need advances in many areas, from light transport, sampling, geometry and material representations, and computationally efficient algorithms to display
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the models and algorithms on GPUs and mainframe computing platforms. Essential Function Yes Percentage of Time 40 Job Duty Mentoring graduate and undergraduate students. Assist the PI (Qi Wang) to mentor
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maintenance. 4. Automated Design Optimization: Reinforcement learning and genetic algorithms will be applied to optimize CFDST geometries and material configurations for maximum efficiency and durability. By
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benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate
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expertise in closely related fields who are interested in research at the interface between geometry, mechanics, materials science, computation, and control theory. Postdoctoral position Applicants
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about ten senior researchers and about 20 graduate students. Research in this area started in the mid-1980s and currently includes (i) Geometry and Computer Vision, (ii) Medical Image Analysis, and (iii
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(lth.se). We invite applications for one to two PhD positions dedicated to developing methodologies for the automated analysis and design of first-order optimization algorithms. Such algorithms form
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, and various geometry models (Computer Aided Design, unstructured mesh, Constructive Solid Geometry, etc.). Familiarity with established nuclear systems analysis software (such as SCALE, Nuclear Energy