133 high-performance-computing positions at Technical University of Munich in Germany
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(WNVI) framework and aims to advance its capabilities in the following directions: • Scalability: Extending methods to high-dimensional and three-dimensional elastography problems using neural operator
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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analytical models Physics-informed machine learning for deformation modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements Ph.D. in
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(WNVI) framework and aims to advance its capabilities in the following directions: • Scalability: Extending methods to high-dimensional and three-dimensional elastography problems using neural operator
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Team and communication skills Very good German and English language skills Responsibilities Independent work on research projects for the production of battery cells with a focus on scaling innovative
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and control system for real-time control and operation at autonomy level 3 as defined by the International Maritime Organization (IMO 1). The control system to be developed will almost completely avoid
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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for deformation modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, or a
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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and
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on performance and project needs. Qualifications • For Doctoral Candidates: Master’s degree in Mathematics. • For Postdoctoral Researchers: Ph.D. in Mathematics, ideally with a background in one or more of the