64 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" Postdoctoral research jobs at University of Minnesota
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extraction, cytokine ELISAs, quantitative RT-PCR, and basic epigenetic assays (e.g., histone-modification profiling). Prepare samples for transcriptomics (RNA-seq) and data interpretation. In vivo and BSL-2/3
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policy. • Study coordination: The fellow will collaborate with Drs. Esler and Hudock in ongoing research projects evaluating treatment groups for autism, conducting telehealth intervention and consultation
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the structure-guided enzymology and drug discovery of proteins, and protein complexes, implicated in human immune signaling pathways. For more information about projects and recent publications, please see the
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Working under the direction of Drs. Martin Felices, you will engage in research evaluating novel biologic and cellular NK
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researchers in population multi-omics, particularly in the domain of cardiometabolic diseases. Part of this position will involve working with Dr. Pankow and Dr. Peterson on analyses and manuscripts using data
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of Science & Engineering. More information about the department can be found at https://cse.umn.edu/cege Pay and Benefits Fixed Pay Rate: $61,008 Please visit the Benefits for Postdoctoral Candidates website
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/academics/divisions/biostatistics/ . The Post-Doc will work with Dr. Wei Pan (https://directory.sph.umn.edu/bio/sph-a-z/wei-pan or http://www.biostat.umn.edu/~weip/ ), and his collaborators in
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meticulously detailed records of all experiments and procedures in a laboratory notebook; perform statistical analyses of data obtained from experiments and render interpretations of the data. Operations - 10
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dynamic and progressive city with outstanding cultural attractions and a high standard of living. For more info, see: https://www.minneapolis.org/visitor-information/ The Institute for Molecular Virology
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. elegans, biofilm assays and characterization, virulence factors quantification, and -omics data analysis. 20% - Design experiments To design routine experiments in frame with the research project objectives