10 cloud-computing "https:" "https:" "https:" "St" "University of St" Postdoctoral positions at SciLifeLab in Sweden
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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and
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(Stockholm, Sweden) and the candidate will benefit from a strong (inter-)national network of collaborators in protease biology and computational proteomics. The successful candidate for this position will join
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. The research environment is embedded in Linköping University and closely connected to SciLifeLab and the national DDLS program. https://liu.se/en/employee/bjofo78 https://www.nsc.liu.se/systems
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postdoctoral researcher will be involved into discussions within a broad range of fields including computational, medicinal and organic chemistry. Requirements PhD degree in biochemistry or structural biology
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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
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KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science Job description We are looking for a highly motivated postdoctoral researcher for a joint project between the
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sequencing, antibody repertoire studies including use of computational analysis pipelines, recombinant antibody production, and immunochemical analysis. The research, with a focus on a clinical cohort
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program based in Sweden that been systematically mapping the localization of human proteins in cells, tissues and organs during the past 20 years. For this project, we map the subcellular distribution