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. The position is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study
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Research Council. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! The research group Data-driven life science (DDLS) uses data, computational
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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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pancreatic cancer. You find us at the renowned Science for Life Laboratory (SciLifeLab), where we are a part of the Data Driven Life Science program (DDLS). Taken together, our lab offers an exciting
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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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. An important part of the project involves analysis of single unit and LFP data and usage of computational frameworks for anatomical annotation and visualization of structural and functional components of brain
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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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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