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include: · Ph.D. in life/biomedical sciences or related field required. · Proven research success and publications, preferably in genomics and bioinformatics. · Strong analytical and
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to collaborate as part of a team AI in Life Sciences Must have a Ph.D. or equivalent in a quantitative/computational field related to the life sciences. These may include bioinformatics, computational
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experience in advanced molecular cloning, protein biochemistry, and single-cell approaches. · Experience in structural biology, proteomics-lipidomics, and bioinformatics is preferred. Salary: Commensurate with
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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genetics, genomics, epidemiology/public health, computational biology, bioinformatics, or a related field. Applicants must have experience or interest in developing expertise on genomic, epidemiologic, and
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bachelor's degree in chemistry, biochemistry, bioinformatics, cellular and molecular biology, epidemiology or other eligible STEM discipline. Degree must have been awarded within 60 months of the application
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obtained scRNA seq data from our DMG models and are seeking a qualified postdoc with expertise and data analysis and bioinformatics. The candidate is expected to design and perform experiments to accomplish
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gene editing, single cell RNA sequencing, bioinformatics, genetic engineering in mice, intravital microscopy and other imaging modalities, and a number of cell and molecular techniques. For more
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immunocytochemical analyses, circuit concepts, transcriptomic (and potentially proteomic) bioinformatics, small input RNA-seq, and high-level imaging, as well as research background in related studies. Junior
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established Computational Genomics Lab at Department of Pathology, University of Kansas Medical Center, Kansas City, is accepting applications for a postdoctoral position in Computational Biology/Bioinformatics