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power electronic systems – from innovative assembly, interconnection, and cooling concepts to advanced circuit topologies and intelligent control algorithms. The use of wide-bandgap power semiconductors
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, you will investigate multi-beam generation Finally, you will program a scan-vector decomposition algorithm The objectives of the project will be tailored to your skills and preferences What you
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 2 months ago
the development of custom AI-powered solutions, and promotes robust evaluation and benchmarking practices for imaging algorithms. As an engineering and support unit, ACVL plays a central role in translating
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Research Translation & Dissemination Collaborate with researchers and domain experts to translate scientific requirements into technical implementations Professionalize and optimize algorithms and software
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in the laboratory Document and evaluate experimental and simulation results Develop and validate machine learning and deep learning algorithms for photonic sensing applications What you contribute
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methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a
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, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking and computational problem-solving in the Earth sciences at large
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) simulations and offer time-saving benefits. We are looking for a dedicated and motivated student to assist us in implementing a novel Graph Neural Network based algorithm that can act as surrogate for FEM and
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Isaac Sim, ensuring realistic physics for hybrid locomotion. You will develop and train RL algorithms for hybrid locomotion tasks, including transitioning between locomotion modes and balancing on uneven
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to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. You will be part of the scientific TUM HN Team