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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 to human health
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School. DDLS uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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. The data-driven life science initiative Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications. Project description The research projects on sustainable
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conducts research in energy technology, laser spectroscopy, medical technology, electronics, and system engineering. We are recruiting a PhD student in energy technology with a focus on thermal process
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identify systems-level mechanisms in cancer that can be used to uncover new biomarkers, drug targets, and paths to drug resistance. The long-term goal of our lab is to enable computer-aided design of
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intelligence 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
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of numerically stable and efficient computational algorithms, their implementation and testing with computer programs, both in simulation as well as real robotic systems. Information about the project and the
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reconstitution to study the replication of positive-sense RNA viruses. This is a vast group of viruses responsible for serious diseases such as Dengue, Chikungunya, TBE and viral myocarditis. To copy their genomes
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the public with knowledge about chemical compounds and biological processes, as well as their importance to society and its development. The department conducts research, teaching and environmental