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molecular and functional assays on cell lines, primary cells and iPSC-derived cells. Work closely with NGS and bioinformatics scientists to process genomic samples, analyze screening results, and generate
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; Assessment of carbon pricing and carbon markets. The above list is not exhaustive, moreover, at any given point in time the institute undertakes multiple projects in parallel and opportunity will exist
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expected to be in the process of completing or have recently completed a PhD degree with research experience in cancer biology, bioinformatics, biochemistry, biophysics, or immunology. Experience/Skills
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Computational Biology, Bioinformatics, Computer Science or Machine Learning related field Demonstrated proficiency with Python, and machine learning libraries; pytorch, sklearn Experience with transformer
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epidemiology, innovative sequencing and bioinformatics technologies including single cell and spatial transcriptomics, molecular biology approaches using cell-based and animal models, and biomarker studies from
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Strong foundation in CFD, Programming proficiency such as Python, AI/ML techniques, Experience with parallel computing on CPU/GPU cluster, use of CUDA, MPI is a plus. Experience Experience with open-source
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search using vacancy reference B02-09130. About you You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science
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analysis pipelines and software tools as a key aspect of this role. Stay updated on the latest advancements in bioinformatics and genomics research and present findings to internal teams and external
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cytometry, and antibody production, as well as NBIS (National Bioinformatics Infrastructure Sweden). The department hosts a unit within Display and Selection Technologies (https://www.scilifelab.se/units
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, and antibody production, as well as NBIS (National Bioinformatics Infrastructure Sweden). The department hosts a unit within Display and Selection Technologies (https://www.scilifelab.se/units/display