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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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experience in teaching, in particular supervising bachelor’s and master’s theses. What do you have to offer You are: Curious and eager to learn Enthusiastic about engaging with young children and their
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support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical infrastructure, on-campus children's day
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your work is inherently collaborative. You will spend a dedicated time at the Amsterdam Medical Center (AMC) with Prof. Ed van Bavel. There, you will learn to perform blood flow perfusion experiments in
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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
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Liefvoort. For questions about this particular research project, please contact Cécile de Morrée. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about
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mitigation strategies. The results will support the development of evidence-based conservation protocols and can provide a learning dataset for AI informed decision that is still lacking in the domain. What we
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. HERITOUR is a collaboration between Erasmus University Rotterdam, University of Stavanger, Middle East Technical University, University of Aruba, Mid Sweden University, and the University of Granada
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for transport You hold, or will shortly acquire, a Master’s degree in a related discipline. Ability and passion for operating at the intersection of different fields, particularly transport engineering and
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skills and a willingness to collaborate within an interdisciplinary research programme. Dutch proficiency (B2), or willingness to learn Dutch, is required due to the fieldwork and Dutch-language sources