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-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 to human
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level in computational biology, physics, applied mathematics, computer science, bioinformatics, structural biology, or a related subject or completed courses with a minimum of 240 credits, at least 60 of
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research centre established by a consortium of scientists representing medical & molecular microbiology, molecular & structural biology, chemistry & physics, and is devoted to top quality research and novel
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requirements, for acceptance in the Biochemistry, especially Bioinformatics, program the applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry
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, and industry, combining biology, physics, and chemistry to advance our understanding of structure and dynamics in biological processes. Access to advanced equipment and expertise in lipid chemistry
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equivalent, in bioinformatics, data science, computer science, computational biology, statistics, public health, biomedical engineering, applied mathematics, physics, or another quantitative field of relevance
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requirements, for acceptance in the Biochemistry, especially Bioinformatics, program the applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry
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Department of Animal Biosciences Technology Description of the doctoral project: Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological
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. The project is based on a close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP) at Uppsala University and SciLifeLab . About the DDLS research program The PhD
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requirements, the applicant must have credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics or alike, including a 30 credit Degree Project (thesis). proficiency in English equivalent