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research in a wide range of mathematical disciplines and has three study programmes: mathematics (including a specialization in statistics at the master level), mathematical economics, and mathematics
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Denmark. The work consists of quantitative research, including developing research questions, conducting theory-driven statistical analyses of longitudinal register data, and, where relevant, linking
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Science including quantitative and qualitative consumer research methodologies, and experience in designing consumer studies in and out-side Denmark. Solid experience in statistical analysis are preferred
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, data sciences, applied mathematics, statistics, operations research, control, electrical engineering, energy systems, cyber security, or related fields Knowledge of privacy-preserving mechanisms
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of skills, and have the opportunity to explore interests in polymer synthesis, assay development, immunology, and statistics. Specifically, the work will involve: Organic synthesis Assaying polymers
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of machine learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics
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the Machine Learning and Artificial Intelligence. Solid mathematical and analytical skills. Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms. Experience in programming
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this study) and the novel models and data established in this project. Application of statistical methods to deal with the uncertainty and the probabilistic nature of the models. This study requires strong pre
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Science including quantitative and qualitative consumer research methodologies, and experience in designing consumer studies in and out-side Denmark. Solid experience in statistical analysis are preferred
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. We expect that you Hold a PhD (or view to obtain a PhD degree) in economics, health economics, statistics, data science, or a related field. (Please note that, in accordance with the rules