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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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Are you passionate about applying computational approaches to solve problems within chemistry and biology? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a
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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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welcome you to apply for a DDLS PhD position in Data-driven cell and molecular biology at the Department of Information Technology, Uppsala University. The Department of Information Technology holds a
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Do you want to contribute to top quality medical research? The Department of Global Public Health is a multidisciplinary department with the aim to advance knowledge about challenges and opportunities for public health in a local, national, and global setting. Research at the department is...
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partners. Subject area for the position: Computer and information science Location until further notice: Växjö. Since Linnaeus University is located in both Växjö and Kalmar, travel between the two may be
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department’s activities here: https://www.uu.se/en/department/immunology-genetics-and-pathology Read more about our benefits and what it is like to work at Uppsala University The Data-driven life science (DDLS
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degree corresponding to at least 240 higher education credits in analytical chemistry, data science, water engineering, or aquatic science Basic knowledge of analytical chemistry and data science
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application! The Department of Biomedical Engineering has strong multidisciplinary teams that include engineers, clinical and preclinical researchers, and industrial partners. The research addresses issues
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The doctoral student project and the duties of the doctoral student This Data Driven Life Sciences (DDLS) PhD project focuses on probabilistic models of protein structure, which can be used primarily