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, race, religion or ethnic background are encouraged to apply. DTU Compute is an internationally unique academic environment spanning the science disciplines: mathematics, statistics and computer
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) for ongoing lab projects. The candidate should have a two-year master’s degree in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field (e.g. Mathematics, Physics, Statistics
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academic department with around 440 employees and 10 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and
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disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions
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theoretical aspects of machine learning. Therefore, a sufficient background in mathematics (e.g., linear algebra, statistics, optimization, calculus) is expected, along with programming experience using deep
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mathematics, statistics and computer science. At the same time, we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role
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teaching experience Skills within statistical analysis Communication skills both in oral and written English Flexibility and self-motivation are desired skills at DTU We expect you to be a team player and
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/or immunology. Analytical skills and some experience in statistical and bioinformatical analysis. Strong written and oral communication skills in English. Ability to work in a team and to assist
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statistical methods; Code implementation and validation for these models in a modelling setting for alternative design and policy analysis. Collaborate with researchers from machine learning and transportation
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brilliant minds in our journey. See our publications and projects here . DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics