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models for high tech industry applications. Your results are expected to be published at leading international venues in machine learning, computer vision, robotics and radar, such as NeurIPS, CVPR, ICRA
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, for example: supervising workgroups or lab sessions, assisting in courses, or mentoring BSc and MSc students. While teaching will not be your main responsibility, it offers valuable experience that supports
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this PhD project, you will build a self-driving laboratory platform that will help solving outstanding questions at the forefront of (photo)chemistry by implementing automated spectroscopy workflows
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join TU Delft and help design hydrogen-resistant steels for a sustainable energy future
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knowledge, innovations, and solutions that help move the world forward. Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to
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strategies Teaching activities are part of your PhD trajectory and may include, for example: supervising workgroups or lab sessions, assisting in courses, or mentoring BSc and MSc students. While teaching will
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Candidate in Exercise and Brain Health – The MolEx Studies About the position Do you want to help uncover the molecular secrets of exercise – and how they may protect the brain against Alzheimer’s disease? We
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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As a PhD Candidate with us, you will help turn early railway
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NTNU and the application process here. About the position The position is for three years with the possibility of up to one-year extension for teaching assistant duties, and is part of the Norwegian
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findings orally and participate in international conferences Assist with teaching activities Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant