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11th August 2025 Languages English English English The Department of Electric Energy has a vacancy for a PhD in condition assessment of medium voltage cables based on pulse detection and machine
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criteria Demonstrated knowledge and experience in electrical system modeling and analysis, applied control, power electronic systems, optimization techniques, and/or machine learning. Experience with
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for changes to your work duties after employment. Required selection criteria You must have an academically relevant background within Learning Technologies, Interaction Design, Human-Computer Interaction (HCI
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underground conditions. Apply machine learning and AI techniques to enhance model accuracy and optimize design parameters. Contribute to the development of a comprehensive, AI-based design methodology for LUS
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the development of political and military strategy; on how the wars were prepared, experienced and remembered; and on how peace was made. BLOCKADE sets out to prove that these blockades are crucial to understanding
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of Information Technology and Electrical Engineering. Knowledge of fundamentals of C++ programming. Competence in code optimization. Knowledge of hardware/software co-design principles, and computer architectures. Good
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foundation for theory-guided catalyst design e. g. by machine learning approaches. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within
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5th May 2025 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Marine Cybernetics for Smart Control of Marine Hybrid-Electric Power Systems
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, Amsterdam and Freiburg, will analyse the impact of blockades on households, states, corporations and the international order; on the development of political and military strategy; on how the wars were
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the PhD candidate may include (non-)linear inverse load estimation and data-driven/machine learning techniques that rely on physics-informed guidance for improved robustness. A key task will be to quantify