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. The allowance will be agreed upon with the relevant union. The expected starting date is 1 September 2025. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment
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. Programming skills in Python, with experience in deep learning frameworks such as TensorFlow or PyTorch. Experience with computer vision techniques, image processing, and neural networks. Familiarity with
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topology optimization. Hence, it is a prerequisite that the candidates document their experience with finite element programming to receive full consideration. Preference will be given to candidates with
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be led by
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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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Job Description We are seeking a candidate for a 3-year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining for Industrialization
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basic knowledge in glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming languages. You must have a two-year master's degree (120 ECTS points) or a
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized
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degree. Scholarship The scholarship is given according to The Marie Skłodowska-Curie Doctoral Networks Programme PhD rules . Approval and Enrolment The scholarship for the PhD degree is subject to academic
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Investigator program “Power efficient fiber-optic communication (POPCOM). The position is focused on developing machine learning frameworks, in terms of constellation and pulse-shaping, as well as equalization