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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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frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology
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and machine learning, engineering physics, molecular biotechnology engineering, data sciences, applied mathematics, or another related field, or have completed at least 240 credits in higher education
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, physical and chemical characterization, use of LSRI facilities, and in vitro evaluation. The project is a collaboration between KTH, RISE, Larodan, and Karolinska Institutet. The position will be shared
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Qualifications You must have at least 240 higher education credits (hc), of which at least 60 hc are at an advanced level, in natural sciences, life sciences, or engineering Applicants must be skilled in both oral
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Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including Master Programmes, at the Faculty
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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
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for therapy. To do this, we interrogate the spatial relationships between B and T cell clones and their immediate niches within tissues using our in-house developed spatial transcriptomics-based technology
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of scientific publications. Additional duties may be assigned within the scope of the position. Qualifications Requirements for the Position A Master’s degree or equivalent in bioinformatics, engineering physics
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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