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Boehringer Ingelheim International GmbH | Biberach an der Ri, Baden W rttemberg | Germany | about 13 hours ago
, endocrinology, or related research areas. Experience with one or more relevant approaches, such as transcriptomics, proteomics, metabolomics, single-cell analysis, network biology, comparative genomics, biomarker
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
requires utilizing Python and R to process complex RNA-seq datasets, including differential gene/isoform expression and isoform switching. The researcher will also engage in cancer genomics workflows
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/experience of the candidate. These goals will include some combination of: Implementing and improving efficient genome engineering approaches Generating novel mouse lines with precisely engineered genomic
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progression in vivo. • Apply molecular and genomic approaches, immunofluorescence/immunohistochemistry, gene-expression analysis, RNA sequencing, and pathway analysis. Responsibilities The successful candidate
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. The BRIDGE Lab (Breast Cancer Research in Genomics and Epigenomics) in the Division of Surgical Oncology at Duke University is seeking a highly motivated Postdoctoral Associate to join a translational
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of Experimental Medical Science within the Faculty of Medicine is currently conducting research on the mechanisms underpinning the epigenetic control of the repetitive genome in stem cell models of early human
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for the prevention and management of GVHD following bone marrow transplantation and for the treatment of autoimmunity. This project will involve genome and culture condition modifications, development
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behavioral analysis, and an evolutionary framework, and range from genetic or circuit dissection within a single species to comparative studies. Planned work draws on a broad experimental toolkit: genome
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conditions by applying omics technologies (e.g., genomics, transcriptomics), validation of gene expression using quantitative reverse transcriptase polymerase chain reaction, and bioinformatic analyses
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at research conferences and seminars. Develop statistical and bioinformatic skills through analysis of experimental data and population genetic and genomic data from plant pathogens and beneficial microbes