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90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model
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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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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
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and BSc/MSc diploma (in English) including official description of grading scale A short PhD project proposal (maximum 2 pages plus references) describing a possible research objective, theoretical
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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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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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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
xperience with quantitative research methods, Experience in reproducible statistical analyses (preferably R and Python) and in the peer-reviewed publication of results. Must be able to work interdisciplinary
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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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to investigate the mechanisms and cell-type specific effects of genetic variants. We are seeking a PhD student to join this effort, focusing on developing computational and statistical methods to model enhancer