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Assistant Professor Nicolas Ubrig (ubrig@mci.sdu.dk ). If you experience technical problems, please contact hcm-support@sdu.dk. Application procedure Before applying the candidates are advised to read
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approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see
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., linear algebra, statistics, optimization, and calculus) is expected, along with programming experience using deep learning frameworks in Python (e.g., PyTorch). While prior knowledge of machine learning
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to obtain) a master's degree in physics, astronomy or engineering. Applicants with previous experience in observational astrophysics, strong programming skills and knowledge relating to data reduction
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an effective team player. Experience with clinical research in a hospital setting is highly desirable. Application: Brief project description(propose how one could investigate gut microbiota-derived EV
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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Job Description The Department of Technology, Management and Economics at DTU invites applications for a PhD student position on the topic of using AI to reduce stochastic problems. You will be
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Job Description The Centre for Technology Entrepreneurship at DTU (DTU Entrepreneurship) invites applicants for a 3-year PhD position on “Early-stage financing of university spinouts”, starting in
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approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The initial assessment of the applicants will be made by Professor Jochen Teizer. We offer DTU is a