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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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mathematics. A MSc degree in mathematics or a related field with strong mathematical content must be obtained before the starting time. Other desirable skills (but not required): Background in quantum computing
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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the BSc and MSc levels. Present and disseminate research findings at both national and international scientific conferences. You must have a two-year master's degree (120 ECTS points) or a similar degree
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understanding of the process, statistics and data analytics shall be applied to link the different conditions to the likelihood of microcracks occurring. The severity of microcracks may also be studied in
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Professor Jørgen Ellegaard Andersen and Associate Professor Shan Shan at QM. Candidate Profile Required Candidates should have a strong foundation in mathematics. A MSc degree in mathematics or a related
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inequality in access to general practitioners (GPs) in Denmark. We are looking for a person with a relevant degree (MD, MSc. etc.) Project description For the research project “Medical Deserts and Health
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articles. Co-supervise BSc and MSc student projects. Complete PhD thesis. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year
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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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to the PhD project ie. processing and analysis of dietary intake data, statistical analyses (eg. linear mixed models) as well as evaluation of child growth and body composition data. Relevant publications