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part of the larger project. The scope of the PhD project is to implement, use, and where required develop, statistical machine learning tools to identify DNA mutations that cause particular types
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, Bioinformatics, Epidemiology, Biostatistics, Biomedical Sciences, or related disciplines; Strong background in statistical modeling, and/or machine learning (any experience in multimodal AI is an asset); Previous
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on this project, and therefore, collaborative work between the two successful candidates is expected. The candidate is also expected to contribute to teaching for the MSc course in ornithology of the University
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to contribute to teaching for the MSc course in ornithology of the University Gaston Berger, in Senegal, by dedicating up to 2-weeks per year of their time. In addition, the candidate is expected to offer MSc
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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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microbiome analyses, and other nutrigenomic tools). Process and perform statistical and bioinformatic analysis of data. Generate scientific publications. The successful candidate is expected to enter a plan
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Intelligence and Statistics (AISTATS), vol. 238, pp. 550-558, 2024. 3. H. Fokkema, T. van Erven and S. Magliacane. Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without
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a very good MSc degree (or equivalent) in a social and behavioral science discipline (e.g., Psychology, Cognitive Sciences, Decision Sciences) or a computer science discipline (e.g., Computational