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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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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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optimization. Have knowledge about implementation of metaheuristics. Be passionate about research and pushing the scientific frontiers. Have excellent programming skills. Have good collaboration skills. Be
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academic 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
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or dissertation project from the grade giving institution. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme. List of publications
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data analysis and statistical tools Who we are The Department of Ecoscience is engaged in research programs and advisory work covering the major biological subdisciplines. We conduct world-class research
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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 . We offer DTU is a leading technical university globally
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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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. Terms of Employment Full-time position for 3 years Competitive salary and pension plan according to Danish regulations Comprehensive health insurance and social security coverage Research and travel