22 computer-science-intern "https:" "https:" "https:" "https:" "P" uni jobs at SciLifeLab
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, international, and outward-looking work environment located in the lively city of Gothenburg on the west-coast of Sweden. The position is funded by the fellowship scheme of the Wallenberg National Program for
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gender equality and diversity as a strength and an asset. Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical
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Uppsala UniversityDepartment of Materials Science and Engineering, 202100-2932 at the Division of Biomedical Engineering, Department of Materials Sciences and Engineering, Uppsala University
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to answer advanced biological questions in natural sciences and in medicine to support the discovery of biomarkers and disease-associated pathways. Duties Designing and planning experiments, executing, and
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providing essential IT services. The Data Centre contributes to open science and the reuse of research results, participates at the highest international level in technology development, and helps shape best
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Are you interested in working with ancient DNA at SciLifeLab Ancient DNA unit, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer
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at Campus Solna, about 20 min from campus Frescati. The position is part of the SciLifeLab fellows career program. All four departments involved in this announcement belong to the Faculty of Science and
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biomedicine, biomolecular technology, and biodiversity converge working synchronously under one roof. With one of the highest concentrations of bioinformaticians and computational biologists in Europe, Campus
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, lineage-tracing, and computational approaches to address clinically relevant questions in cancer and drug development. Our work is carried out in close collaboration with national and international partners
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School of Electrical Engineering and Computer Science at KTH Project description Third-cycle subject: Computer science This project involves generative modeling to address missingness in mass