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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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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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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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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 DTU's
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findings through scientific publications and presentations at international conferences. We are looking for a candidate who: Think creatively and approaches problems with an open, computational mindset. Is
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computational science, polymer chemistry, materials science, or environmental science (ideally a combination of one or more of these). Strong analytical skills. Excellent communication skills in English, both
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, synthetic biology, and drug delivery science Have hands-on access to world-class infrastructure and cutting-edge techniques (e.g., electron/confocal microscopy, flow cytometry, DLS, FTIR) Join a highly
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solutions Lead the preparation of scientific publications towards ISI journals and highly ranked international conferences Share the findings of your research with qualified professional audiences Co