53 Materials Science Fellowship positions at University of Texas at Austin in america in United States
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Ph.D. in Chemical Engineering, Chemistry, Materials Science and Engineering or a related field earned within the last three years. Preferred Qualifications Ph.D. specialized in the fields of polymer
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machine learning implementation, and techno-economics. Responsibilities Research Writing Proposal Development Various other duties as assigned Required Qualifications The ideal candidate must have: Ph.D. in
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and training staff and students Writing and publishing scientific material, including manuscripts Presenting research at conferences Contributing to grant submissions for external funding Collaborating
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Job Posting Title: Postdoctoral Fellow ---- Hiring Department: Department of Computer Science ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt
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School of Nursing (PI: Eun-Ok Im RN, PhD, MPH FAAN) is seeking to fill a postdoctoral research position. The post-doc fellow will assist in multiple NIH-funded studies on technology-based interventions
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are to: Expand the cadre of nurse and other healthcare scientists with the advanced training necessary to build the science of chronic illness management, promotion of health in vulnerable populations, and
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interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and
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-academy/ . For more information on college staff professional development, please visit: https://wikis.utexas.edu/display/larc/Staff+Professional+Development+Fund . Purpose Sponsored by the National Science
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of the Jackson School of Geosciences at the University of Texas at Austin. Scientists and students at UTIG conduct expeditionary research in Earth Science in all parts of the world, and are also involved in
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immunology, cancer biology, or a related field and experience working with mouse models. The ideal applicant will have a strong background in immunology and/or cancer biology, experiments using genetically