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the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). Data driven life science Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study
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the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). Data driven life science Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study
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, technology, social sciences, etc. and is responsible for the master’s program Work and Health. The unit employs several doctoral students and post-docs. The doctoral student will be offered regular seminars
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Computer Science and Engineering, or a closely related field such as signal processing, machine learning, statistics, or bioinformatics. Expertise in image analysis and deep learning models, with a focus on
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Ph.D. in Epidemiology, Computational Biology, Bioinformatics, Statistics, Computer Science, or a closely related field. Solid experience in statistical analysis and programming (e.g., R, Python, MATLAB
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, GraphPad Prism, or R is also necessary. Additional experience in computational biology is advantageous. We seek candidates who demonstrate a genuine interest in basic science and are eager to contribute
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of four years of full-time doctoral education is required. The research group A doctoral research position is available in the lab of Rickard Sandberg at the institution for Cell and Molecular Biology (CMB
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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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using flame aerosol technology. The focus of the research program lies on studying the physicochemical properties of materials made by aerosol processes and then applying this fundamental understanding
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, biologists, chemists, and computational biologists is a leading group in the field of DNA nanotechnology specialized in creating molecular tools for life-science. We offer a stimulating scientific environment