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across both surface and subsurface layers. This includes constructing robust feature extraction pipelines, attention-based fusion architectures, and deep learning models that accurately characterize cracks
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Set up and run simulations to increase our understanding about the factors that influence the change in genetic variance components in populations under selection. Support the postdoc with developing and
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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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supervised by a multidisciplinary team of academic and societal experts. Detailed descriptions of the work packages and their interconnections are available on the DECIDE website https://decideproject.nl/ We
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is made for you! Information We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within
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about everyone’s research project and try to help and learn from each other’s problems to boost our scientific and personal growth. We also enjoy many team-building activities and events where you will
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University of Technology (TU/e). Our group consists of six full professors, three associate professors, seven assistant professors, several postdocs, approximately 40 EngD and PhD candidates, and support staff