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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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both. Mathematical maturity and experience with scientific programming are essential. A background in probabilistic methods is highly desirable, at the level of master’s courses in probability
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-the-loop (HiL) testing and coding skills using Python or JAVA programming is an advantage. Some teaching activities within the research area and collaboration with our team for translating research ideas
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. The PhD programme A three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree
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study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific
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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 candidates will be based
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Lei Yang and Prof. Johannes Kabisch (Norwegian University of Science
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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 for the PhD education . Assessment
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academic level equivalent to a two-year master's degree. Demonstrated competence in programming with Python and working on Linux based platform is essential for this position. Further, we are looking for a
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of Biochemistry and Molecular Biology, which allows the candidate to tailor a flexible individualized course program Training in a wide range of scientific and transferable skills including research management