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for clinical trials. Use statistical and machine learning methods to identify patterns and relationships between genomics data and clinical outcomes. Collaborate with experimentalists to design experiments and
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experimental molecular biology laboratory. We believe that AI and Machine/Deep learning can be complemented with statistical and mathematical modelling to arrive at a systems level description and understanding
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research; questions including the use of A.I., interviewing, how to make a survey, data-analysis and the use of statistical software and Excel. Besides a theoretical approach, much attention is paid
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for an assistant professor with broad mathematical, statistical, and computational expertise in the analysis and modelling of cognitive neuroscience data. Specifically, we are looking for a staff member who can
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and contribute to the development of our curriculum; (co-)supervise PhD candidates, BSc/MSc students from our programs in Mathematics and MSc students from our program in Statistics & Data Science
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science courses and substantive theoretical and statistical/methodological coursework in general and/or Entertainment Communication courses in particular, depending on educational demand; supervise and
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and/or models used in molecular plant sciences, and train junior research staff in data handling and analyses, their experimental setup and statistics. You will work in the GLS research theme but you
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, linear algebra, statistics, numerical mathematics. Innovation of interdisciplinary mathematics education is an essential part of the tasks. This includes improving students’ conceptual and contextual
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normally consist of one course (5 ECTS) each quarter as well as supervising BSc and MSc student research projects. The courses mainly concern calculus, linear algebra, statistics, numerical mathematics
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Apply now The Faculty of Science and the Mathematical Institute are looking for: Assistant Professor in Medical Statistics In case of exceptionally qualified candidates, an appointment at associate