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available in our group to work on (1) DNA advanced imaging method development for spatial transcriptomic and proteomics. (2) Translation research to apply the developed methods to study Alzheimer and cancer
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
found here: https://www.energy.gov/cmei/office-critical-minerals-and-energy-innovation About this Opportunity The selected fellow will join the Energy Sector Industrial Base (ESIB) Team within
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of the synovium in various synovial joints. Work will encompass management of human tissue collection protocols, nucleic acid extraction from this tissue for RNA sequencing and epigenetic study, and contribution
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: Analyze and interpret large-scale genomic, functional genomics, and population genetics datasets Contribute to manuscript preparation, grant writing, and collaborative projects within the lab and across
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link: https://resources.uta.edu/hr/services/records/compensation-tools.php CBC Requirement It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant
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Translational Injury The Burn and Shock Trauma Research Institute (BSTRI) at Loyola University Chicago is seeking a highly motivated Postdoctoral Research Fellow to join an NIH-supported translational research
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biochemistry, genetics, microbiology, and cell biological approaches. For more information check the Saavedra lab website: https://www.saavedralab.com The successful candidate for this role will join a
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, and (ii) translate these genomic insights into actionable, decision-ready strategies for conservation. This position offers a unique opportunity to work at the frontier of AI, genomics, and conservation
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to support meaningful and impactful learning experiences. A central focus of the Institute is translating research into sustained evidence-based practice across engineering classrooms, programs, and
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the project based on earlier experience and skills. We work on a range of topics with a focus on high-throughput omics data integration and analysis in population cohort studies (e.g. metagenomics, metabolomics