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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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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
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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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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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more than 170 people, of which about 53 are PhD students, and about 47 % of all employees are internationals. In total, it has more than 1200 students in its BSc and MSc programs, which are based on AAU's
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of BSc and MSc. Qualifications MSc graduates with a background in either engineering, mathematics, computer science, computer engineering, physics, sustainable energy, electro-chemistry, and related
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model checking. You should be well versed in basic statistics and practical programming skills is a must. Knowledge about the inner workings of GenAI would be nice but not necessary. You must have a two
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., linear algebra, statistics, optimization, and calculus) is expected, along with programming experience using deep learning frameworks in Python (e.g., PyTorch). While prior knowledge of machine learning
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with international research bodies, academic institutions, and industry. Follow and complete selected courses. Assist in teaching courses and co-supervision of BSc and MSc. Qualifications MSc graduates
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letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale A research statement (2-3 pages) explaining your ideas and relevant literature