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/ Deep Learning (particularly Computer Vision or 3D perception) Verification & Validation (V&V) of advanced algorithms, software or systems Formal Methods Safety Engineering / Safety-Critical Systems
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reviewed scientific publications. Your profile PhD in Computer Science, with specialization on applied machine learning, statistical methods, and/or software engineering Strong programming skills Strong
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desirable Good knowledge of the Luxembourgish social sector as well as the structures of non-formal education in Luxembourg is an asset Proficient in data processing and analysis software (e.g., Atlas.ti
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will join the research group on non-formal education at the Centre for Childhood and Youth Research (CCY) within the Department of Social Sciences. The CCY is a multidisciplinary research centre
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field. The PhD dissertation must have been submitted before the application deadline, and the degree must have been awarded before the starting date. Proven expertise with ethnographic methods (e.g
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mechanisms responsible for the expansion and function of human beta cells that produce insulin. Technologies you will work with: The project uses state-of-the-art research methods: • Culture and
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approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our current emphasis, without excluding candidates with prior experience on Aerial or Ground Systems. We
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and collaborative research environment within the lab. Take a leading role in mentoring junior students, with the opportunity to take on formal supervision roles. About you Qualifications: PhD in
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tracking). Comfortable using Linux based HPC systems. Model order reduction, particularly proper orthogonal decomposition (POD) techniques. As a formal qualification, you must hold a PhD degree (or
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. Experience with 2D cross-sectional modelling (e.g. BECAS). Comfortable using Linux based HPC systems. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical