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: principal investigator dr. Lennart de Nooijer) at the Royal Netherlands Institute of Sea Research (NIOZ) is looking for a highly motivated PhD student with a background in cell biology/ (bio)geochemistry
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to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
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-empowering AI systems. The project spans domains such as healthcare, mobility, education, law, ethics, and public governance. This position is a collaboration between Utrecht University and the University
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include: conducting theoretical and empirical research on the project’s topic, resulting in a PhD dissertation and journal publications; participating in the teaching and research activities of the Public
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results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
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of a new class of compact, high-performance inertial sensors, paving the way toward practical quantum sensing platforms for mobile and embedded applications. This project is embedded in the QDNL
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design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers
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become better versions of themselves. At BMS we do this through academic education, fundamental science and societal problem-solving. From Bachelor’s or Master’s degrees and Professional Learning
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to investigate aardaker growth, development, and environmental responses under controlled and field conditions. Develop speed-breeding protocols and plant resilience assays, and collaborate with soil, drought, and