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The Department of Cell and Molecular Biology (ICM) (https://icm.uu.se) is organized into seven research programs, each focusing on distinct areas within cell and molecular biology i.e. computational
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. The research environment is interdisciplinary and international, and the successful candidate will work closely with researchers and students in the group, including postdoctoral researchers, PhD students, and
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of Medical Sciences can be found at https://www.uu.se/en/department/medical-sciences . The Affinity Proteomics unit at SciLifeLab, hosted at Uppsala University, is seeking a highly motivated biofinformatician
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future. 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
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Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart solutions to societal challenges, such as energy efficiency and
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, research engineers, bioinformaticians, system developers, and system administrators. Each year, we process more than 60,000 samples and generate over 400 Terabases of data. More about our activities and
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Infrastructure (SBDI) and maintains the Swedish Species Observation System. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes
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of the SciLifeLab Integrated structural biology platform https://www.scilifelab.se/units/structural-proteomics/ The unit provides access to cutting-edge equipment and expertise, for the analysis
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to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven
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program 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