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for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including
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) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Selection
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We are looking for a motivated PhD student to join us in a unique, collaborative project between our Affinity Ligand Design team at Cytiva and the Elofsson group at Stockholm University, where we
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, computer science, computational biology and computational statistics. More information about us, please visit: Department of Mathematics . Project description We seek to recruit a PhD student for the following
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Are you passionate about applying computational approaches to solve problems in biomedicine? We are now looking for an Industrial PhD student in Data-Driven Life Sciences to work on a cutting-edge
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PhD students, work at the department. New employees and students are recruited from all over the world and English is the main working language. The department is located at the Biomedical Centre in
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The Department of Chemistry, with more than 200 employees, is one of the largest departments at Stockholm University. The Research spans all areas of chemistry such as analytical chemistry, physical
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for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including
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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
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computational and data science capabilities in Swedish life sciences. DDLS is establishing a research school for 260 PhDs in academia and industry. The aim is to educate highly skilled and competent professionals