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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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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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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