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visualization of complex multimodal results for users who are unused to coding. This will include designing tools for the automatic processing of genomics or other omics datasets, alongside medical or biometric
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expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University
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Umeå University, Faculty of Science and Technology The Department of Chemistry is opening a PhD position in Chemistry with a specialization in biochemistry. The thesis project will focus on electron
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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, Stockholm
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KTH Royal Institute of Technology, Support services at KTH The task of Support services is to support the university’s education and research. KTH’s Support services are currently in an exciting
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knowledge in translational medicine and molecular biosciences. SciLifeLab is a national resource coordinated by Karolinska Institutet, the KTH Royal Institute of Technology, Stockholm university and Uppsala
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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, Stockholm
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medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. The center also
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at www.medsci.uu.se . The SNP&SEQ Technology Platform at IMV is part of the SciLIfeLab National Genomics Infrastructure (NGI) in Uppsala. We provide large-scale sequencing (NGS), SNP genotyping, and proteomics services
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transcriptomic information to discover novel protein coding regions, detect variant proteins, and identify cancer neoantigens. Our facility offers a full spectrum of MS-based applications including quantitative