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take charge of your own learning process . An excellent technical infrastructure, on-campus children's day care and sports facilities. Unlimited access to the modern on‑campus TU/e Student Sports Center
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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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training programs and other 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
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approach that will be used is Challenge-Based Learning (CBL) in which multi-disciplinary teams of students learn by conducting research and design projects on a societal problem in collaboration with
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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
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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