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) and Lundberg’s Lab at the School of Chemistry, Biotechnology and Health (CBH). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and
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, advanced omics technologies, bioinformatics, and clinical collaboration to address fundamental and translational questions in tissue repair. As a member of our multidisciplinary team, you will work in a
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system development. Work description This postdoctoral position is part of the research portfolio within Mechanical Engineering and Product Development, where multiple externally funded research projects
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Children’s Health, Uppsala University. In parallel, you will build a broad network for collaboration and professional development. The Department of Medical Cell Biology at Uppsala University offers a highly
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molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology, Molecular Biophysics, Molecular Evolution, Molecular Systems Biology and Structural Biology. The
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, resilient under pressure, and energetic Meritorious qualifications: Courses in systems biology and bioinformatics, including processing of sequencing data Basic knowledge of the epidemiology, diagnostics, and
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, you will work with advanced 3D in vitro models of fibrosis and metabolic disease, using multiple primary and immortalized human cell lines. Your research will focus on identifying molecular mechanisms
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separate CTCs from blood. This will include, cell culturing, microfluidic and flow cytometer cell sorting and operation of mass spectrometers (MS), as well as multi-omics data integration and analysis
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requirements are mandatory: A doctoral degree or an equivalent foreign degree in computer science, mathematics, statistics, bioinformatics, chemistry, or equivalent. This eligibility requirement must be met
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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