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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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and career advancement across the globe. DDLS industrial PhD position We are announcing the position of Data-driven life science (DDLS) PhD student in data driven cell and molecular biology. This is an
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PhD position within the Infection Medicine Research Group The research group led by Professor Johan Malmström develops techniques in quantitative and structural mass spectrometry to analyze
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cutting-edge expertise for analysis of current and emerging data types. Qualification requirements The applicants need to fulfil the following requirements: PhD in bioinformatics, molecular biology
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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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analysis as well as bioinformatic analysis of microbial communities. Qualifications: The candidate should hold an MSc degree in biology, ecology, microbiology, plant pathology, or a related subject
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application! The position You will be working on epigenetic studies. The person we need We are looking for a candidate with a PhD in pediatrics or a closely related field. We want you to have: experience in
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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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and field conditions. The practical work also includes culturing oomycetes and plants, sampling for molecular and microbiome analysis as well as bioinformatic analysis of microbial communities
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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