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expertise in molecular genetics and bioinformatics and will be responsible for planning, conducting, analyzing, and compiling data from a large number of AML cases. Qualifications Required: PhD in Clinical
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physiological balance. Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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research visits to Uppsala to work with the fungal ecology team. Your profile The postdoc must already have a working knowledge of fungal ecology, and DNA extraction, sequencing, bioinformatics, and data
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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the fungal ecology team. Your profile The postdoc must already have a working knowledge of fungal ecology, and DNA extraction, sequencing, bioinformatics, and data analysis. They must also already have
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orthotopic surgery. Experience with single-cell sequencing and bioinformatics. Background in tumor biology. Experience in supervising PhD students and/or undergraduate students. The assessment of applicants
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responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological
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Biology is organized into seven research programmes which all focus on different areas of cell and molecular biology: Computational Biology and Bioinformatics, Microbiology and Immunology, Molecular Biology