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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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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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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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. 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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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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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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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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. 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 made in a
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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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also be able to demonstrate excellent ability to code with or learn computer programming languages, such as C++, C#, Python, and/or Matlab. A desire to engage in cross-disciplinary research