27 modal-analysis-machine-learning PhD positions at Delft University of Technology (TU Delft) in Netherlands
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includes PhD students and researchers at TU Delft, Wageningen University and Research, and Erasmus University Rotterdam, as well as industrial partners that specialize in machine learning, climate control
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the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
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? No Offer Description Job description Consortium This position is part of a European Doctoral Network consortium "Machine learning for integrated multi-parametric enzyme and bioprocess design", where 15
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from software error discovery to mitigation based on modern active learning. Job Description You will research the state-of-the-art in AI and apply it to real-world software problems at our industrial
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maintain robustness through evolution using live-cell imaging and multiscale modelling. Job description Cells are often described as intricate machines where proteins work together in a tightly coordinated
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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the synthesis of materials and the use of advanced electrochemical methods and surface analysis techniques. We aim to deepen the fundamental knowledge of electrochemistry and surface science and translate
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, and machine learning for data analysis. This includes an intrinsic motivation to expand your horizon, ablilty to learn quickly, and strong communication skills to easily connect with other experts in
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that the developed methods are robust, adaptable, and grounded in real-world practice. You will apply advanced techniques such as agent-based modelling, quantitative resilience assessment, and risk analysis to
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collaborative atmosphere, meeting regularly to share ideas, knowledge, and social time. As a PhD student, you will learn how to design and build new experimental setup, run a measurement campaign and analyze its