51 development-"https:"-"https:"-"https:"-"https:"-"https:"-"Inria" research jobs at Texas A&M University
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geoarchaeology of drowned Gulf landscapes. Join a dynamic research team supporting cultural resource stewardship of the offshore Coast region. This position plays a key role in developing best practice
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susceptibility to cardiovascular and autoimmune diseases, as well as how immune signaling shapes behavior before and after traumatic experiences. The Postdoctoral Research Associate will be expected to develop and
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: developing/performing/troubleshooting immunoassays, determining the function of selected genes in Streptococcus equi including in vitro and in vivo studies, generating/interpreting data and preparing data
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. The Postdoctoral Research Associate in the Cirillo Laboratory at Texas A&M will engage in research to advance the development of Reporter Enzyme Fluorescence (REFtb), a rapid tuberculosis diagnostic platform based
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of earth scientists, and using our expertise to serve the broader scientific, government, and industry communities. Our most fundamental mission is to educate students at all levels. To that end we
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of action, pharmacologic response, assay development, and translation of positive results toward patient treatment. Writes and may contribute to research papers, articles, and publications. Assists with
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are seeking a highly motivated Postdoctoral Research Associate to join a multidisciplinary research team developing advanced autonomous multi-robot systems for exploration and reconnaissance. The successful
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Associate conducts applied research at the Autonomy Research Institute (ARI) in support of sponsored research, autonomous technology development, and institutional research initiatives. The position develops
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manuscripts for publication. Prepare and characterize samples with thin-section petrography, scanning electron microscopy, and other techniques with assistance as needed Conduct heating experiments with
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Job Description Here's a Glimpse of the Job The Postdoctoral Research Associate will be involved in developing deep learning architecture for multi-object data integration, federated learning approaches