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and statistical analysis. Requirements PhD degree in population genomics, bioinformatics, applied statistics or a related area, or a foreign degree equivalent to a PhD degree in population genomics
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advanced bioinformatics expertise. What We Offer Lund University is a government agency, which means you are entitled to special benefits, generous vacation time, and a favorable occupational pension. Read
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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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lead sophisticated multimodal bioinformatics integration and analysis, collaborating daily with a diverse team of computational scientists and clinicians to translate complex data into actionable cancer
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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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for this scholarship position, in addition to holding a PhD in the field of biomedicine, the candidate must have demonstrated research expertise and documented research experience in the field of human adaptive
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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