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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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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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. 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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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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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
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fieldwork (data collection); the ability to plan, coordinate and conduct field experiments. Work in research teams (e.g. during the master’s degree work). Experimental design related to aquatic environmental