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, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a sustainable
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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 their processing on the FPGA of a frame grabber card You will program the PC software for configuring and controlling the algorithms on the FPGA Your tasks will include designing the transfer
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operating conditions Design and implement optimization algorithms to improve the performance of the engine, battery, fuel cell, transmission, and hydraulic systems, considering constraints such as component
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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technologies and IT infrastructures throughout the university and beyond. More at: https://www.mdsi.tum.de/en/mdsi/home/. Prof. Julien Gagneur, chair of Computational Molecular Medicine, studies genomes using
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! Fraunhofer Institute for Computer Graphics Research IGD www.igd.fraunhofer.de Requisition Number: 80165 Application Deadline: 09/14/2025
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founded research area of "Digital Technologies" with a focus on computer-aided high-throughput methods and AI-supported model development presentation of scientific results at international conferences and