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specialists at Skåne University Hospital. Our work involves advanced technologies such as single-cell RNA sequencing, spatial omics, and spectral flow cytometry for detailed characterization of immune cells in
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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interest in quantitative biology Curiosity and motivation in learning multiple -omics approaches Preferred experience includes familiarity with quantitative proteomics or NGS library generation Previous
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of proteomics and MS experiments in close collaboration with platform users and the team members, as well as sharing knowledge within the facility team. You will take part in multiple projects applied
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take pride in providing excellent technical support. As the workload will vary over time, you need strong time management skills and the ability to handle multiple projects of different sizes
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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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international collaborative projects within host-microbe interactions, vaccine research, technological development (in spatial biology), and mucosal immunology. The groups also work closely with multiple