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of changes in ice-nucleating aerosols, including those from anthropogenic emissions, on clouds and climate. The work will involve coding with FORTRAN 90 in a linux environment. The work will be performed in a
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of scMetaG data. In addition to being affiliated with the Department of Clinical Microbiology at Umeå University (https://www.umu.se/en/department-of-clinical-microbiology/ ), the student will be affiliated
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tools, which can be used to analyze massive amounts of scMetaG data. In addition to being affiliated with the Department of Clinical Microbiology at Umeå University (https://www.umu.se/en/department
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of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
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more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Genetic variation and genomic prediction in farm animals Research subject Animal Science
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responsible breeding strategies for modern animal production systems. Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Genetic variation and