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At the Erlangen site, the more than 400 employees of the Fraunhofer Institute for Integrated Systems and Device Technology IISB conduct application-oriented research and development on innovative
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on developing algorithms and foundations for deep learning and foundation models, particularly for medical imaging and on establishing mathematical and empirical underpinnings for machine learning. We
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, and characterization Develop gate implementations, benchmarking and algorithms Work on the interdisciplinary challenges in systems engineering Install and improve experimental setups and fabrication
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into the setting of metabolic flux inference and, with inspiration from existing algorithms, develop tailored MCMC algorithms. You will implement the ensuing algorithms in an existing C++ framework, validate and
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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. Your main Responsibilities Perform original and excellence-driven research: Develop and analyze dynamic models and guidance and control algorithms Conceptualize and develop sample scenarios, roadmaps and
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research: Develop and analyse mathematical models for the dynamics of evolving self-assembled systems (orbital, attitude, multi-body, RV-docking), as well as for guidance and control algorithms Conceptualize
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and developmental biology, mechanobiology, stem cells and differentiation, network reconstruction and systems biology, proteomics, genomics, metabolomics, sequencing and algorithms, computational
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The Fraunhofer Institute for Laser Technology is Europe's leading center for contract research and development in laser technology. The Department of Laser Medical Technology and Biophotonics