23 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" uni jobs at SciLifeLab in Sweden
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. The position is based in the Computational Genomics Research (CGR) Lab, within the Data Science and AI division. About us The Department of Computer Science and Engineering , a joint department of Chalmers and
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. Requirements University degree in bioinformatics, computer science, IT, or a related field. At least three years of documented work experience in bioinformatics-related systems development. Excellent knowledge
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analysis and computational modelling. This position offers the opportunity to contribute to innovative experimental research within a dynamic and collaborative environment, advancing high-impact studies
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Job description The Affinity Proteomics unit (https://www.scilifelab.se/facilities/affinity-proteomics/ ) is part of
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Uppsala University, Department of Organismal Biology Would you like to work with ancient DNA, with the support of competent and friendly colleagues in an international environment? Do you want
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universities. SciLifeLab forms an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and
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developing and implementing data management for human data to meet future needs within data-driven Life Science research. More information about NBIS can be found at https://nbis.se . Duties We are looking
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at https://nbis.se. Duties We are seeking a candidate who wants to help enable life science research in Sweden that goes beyond what is achievable by individual researchers, a single university, or a single
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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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Data Driven Life Science (DDLS). About the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes