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offering a postdoctoral research associate position to work on a federally sponsored fundamental science research project that is broadly focused on analyzing physiological data using the method of Diffusion
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communication skills Project organization/management skills Advanced training in quantitative research methods Ability to work independently and as a team member Preferred Qualifications PhD Required Required
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protein modeling • Experience with enhanced sampling methods, multiscale modeling, and/or kinetic modeling is highly desirable • Interest in translational applications, including peptide/protein
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design • Experience with agrobacterium-mediated transformation • Knowledge of methods for natural product detection, isolation, and structural elucidation from plants • Ability to work independently
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Advanced training in quantitative research methods Ability to work independently and as a team member Preferred Qualifications N/A Required License/Registration/Certifications N/A Job Duties: Assist in
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technical documents including formal project reports, scientific journal papers, conference papers, and presentations.Publish Journal and Conference papers. Mentor and collaborate with graduate and
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prioritize work while meeting multiple deadlines. Ability to communicate effectively in both oral and written form. Skill in using analytical software tools, data analysis methods, and other computer
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of the state of Texas and the nation. This will be achieved by a balance of formal course work, practical laboratory training, and research projects that encompass both the basic science and the applied aspects
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learning methods to comprehend the material's performance during experimental testing. We seek a highly motivated postdoctoral researcher with expertise in artificial intelligence and machine learning
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will perform research in advanced semiconductor material growth and determine correlations with structural, chemical, and electrical properties using methods such as XPS/UPS, XRD, SEM, Raman, I-V, C-V