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National Bioinformatics Infrastructure Sweden (NBIS), which constitutes the Bioinformatics Platform at Science for Life Laboratory (SciLifeLab) – Sweden’s hub for molecular life sciences. Together
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provide high-quality bioinformatics support in collaborative validation studies, ensuring that SciLifeLab’s proteomics infrastructure remains a cornerstone in precision medicine. Qualifications Requirements
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within or outside the country, substantially equivalent knowledge Specific eligibility requirements include at least one introductory course in programming and one introductory course in bioinformatics, as
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Molecular Biology (ICM), which is one of Europe’s most prominent biomolecular departments. Your role will be placed at the national infrastructure National Bioinformatics Infrastructure Sweden (NBIS), which
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antibody production, as well as NBIS (National Bioinformatics Infrastructure Sweden). The department hosts a unit within Display and Selection Technologies , which is part of the national research platform
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, from foundations to industrial and scientific applications. The CGR lab conducts research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and
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for the position are: At least a Master’s degree in a relevant field, such as structural biology, bioinformatics, biochemistry, molecular biology, molecular genetics, molecular cell biology, or a related discipline
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level in computational biology, physics, applied mathematics, computer science, bioinformatics, structural biology, or a related subject or completed courses with a minimum of 240 credits, at least 60 of
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circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The doctoral degree should be in computational/systems biology, computer science, bioinformatics
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on bioinformatics analysis of spatial gene expression data as well as other modalities (i.e. microbiome; metabolites, proteins) generated using the Spatial Transcriptomics (ST) method, Spatial metaTranscriptomics