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computing education. SciLifeLab BIIF is administratively placed here, and offers education and research support within digital image processing and analysis for life science applications. Science for Life
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modeling and simulation, as well as patient-focused and policy-related studies, ranging from individual drug optimization to pharmaceutical policy analysis. More about our research: https://www.uu.se
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operation, photo-switching studies. Microscopy-based assays and image analysis will be an integral part of the project as well as imaging on state-of-the-art super-resolution microscopes. The project will be
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for studying binding and dynamical structure of DNA, RNA and proteins. Scientific questions in projects can involve, for example, studying specificity in transcription factor – DNA binding, detecting protein
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reproducible pipelines for in-depth analysis of high-throughput CRISPR gene-perturbation data. You will support CFG and its users in data analysis, management, and delivery. You will have the opportunity
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to analyze human gut microbiome data from large cohorts. Responsibilities Microbe-microbe and host microbe interaction analysis in multiple cohorts (n=2500) Evaluate differential fitness of specific strains in
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pipelines for analysis of high-throughput chemical proteomics experiments, apply statistical and pathway analysis methods, and ensure that all datasets follow FAIR principles. The role includes supporting
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). Applications must include the following elements: Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above) . Translations into English or
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multivariate analysis and apply these to research questions within microbiology. To complement the research project, you will have access to a large range of different types of infrastructure available
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of Gothenburg promotes equal opportunities, equality and diversity. We are seeking a highly motivated Associate Researcher (Data Scientist) with a strong background in computational image analysis, particularly