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We are looking for a PhD student in Visual Learning and Communication with a focus on interactive visualization, visual learning, science communication, and educational science, formally based
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. The candidate should have strong mathematical skills and experience in machine learning, programming, and the analysis of visual data. Furthermore, you are able to work with a long-term perspective and drive
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epidemiology and biology of infection with start date 1 September 2026, or as agreed. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Data driven
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The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among
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. The student is expected to learn to design research questions and hypotheses, design experiments, analyze data, take courses, write scientific manuscripts, communicate science to their peers and the general
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Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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within linear algebra, calculus, numerical linear algebra, optimization, statistical machine learning, computer vision, 3D image processing, visualization, material science, deep learning, and software
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equations Computational science or Scientific Computing Scientific Visualization Good written and spoken communication skills in English is mandatory. The applicant should be motivated, dedicated to research
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equations Computational science or Scientific Computing Scientific Visualization Good written and spoken communication skills in English is mandatory. The applicant should be motivated, dedicated to research
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to receiving your application! Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and