146 assistant-and-professor-and-computer-and-science-and-data PhD positions in Denmark
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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, Professor Peter Bro, and Associate Professor Kim Andersen all three from the Centre for Journalism , University of Southern Denmark. Please visit our website for more information and the full advertisement by
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, and policy-makers, and help accelerate the transition from breakthrough science to real-world solutions. The precise objectives of the PhD position are to be determined in dialogue between the candidate
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influence its development directly. We are currently evolving our mechanical engineering degree program and constructing labs to support both educational activities and research. Workplace description
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Professor Ulla Toft, Prevention, Health Promotion and Community Care, Steno Diabetes Center Copenhagen, ulla.toft@regionh.dk Qualifications needed for the regular programme To be eligible for the regular
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postdoc in the lab. You have: A Master’s in Life Science, e.g., Molecular Biology. Expertise in functional genomics approaches and computational data analysis. Expertise and interest in gene-regulatory
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of two Associate Professors, two Assistant Professors, a Lab Manager, a Center Administrator, and app 10-15 PhD students, postdocs and visiting scientists. Several POLIMA researchers have attracted
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. The position is funded by a Villum Young Investigator grant awarded to Assistant Professor P. André D. Gonçalves, who will supervise the PhD research. The position is available starting October 1, 2025
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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
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deformation. Responsibilities Develop scientific machine learning methods in close collaboration with team members specializing in experimental techniques and materials science. Utilize unique experimental data