49 post-doc-image-engineering-computer-vision Postdoctoral positions at Texas A&M University
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, innovative research and team-based health care delivery. What we want The postdoctoral research associate will work on projects related to the engineering of therapeutic proteins to treat and/or prevent
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. QUALIFICATIONS PhD in Civil Engineering, Environmental Science, Computer Science, or a related field Research experience in hydrology, geospatial analysis, and machine learning Skills of scientific writing and
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the area of Neurosciences and/or Network Analysis. Ability to perform advanced structural and functional image analysis. 6 years of experience in Neuroscience. Responsibilities Research Under general
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on single fluorophores with sub-10 nm precision and millisecond-scale time resolution, with special attention applied to image stabilization and alignment, and drift and chromatic corrections. What you need
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of Agriculture and Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M
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rhythms using Drosophila as a model system. This research will involve biochemical assays, cell imaging, genomics, and computational approaches to define how conformational changes in CLOCK and PERIOD
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Immunohistochemistry experience with confocal imaging and 3-dimensional analysis of morphology of neurons and/or glia. First author publications. Experience with Multiclamp 200B and 700B type amplifiers or comparable
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structural biology will be well-suited for this role. You’ll apply your specialized skills using advanced genetic mouse models and techniques like confocal imaging, brain-slice electrophysiology, in vivo
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microsurgeries and longitudinal studies using small animal models of myocardial infarction or heart failure to evaluate therapeutic outcomes. Data Acquisition: Utilize advanced imaging (e.g., echocardiography, MRI
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and Technology (IBT) of Texas A&M Health Science Center is seeking highly skilled and motivated postdoctoral candidates to pursue interdisciplinary research in molecular mechanisms of antibiotic