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workforce capacity to deliver evidence-supported behavioral health services. The fellow will receive mentorship from faculty investigators toward the development of an independent program of research
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for predicting mental health outcomes of anxiety, depression and PTSD. There will be potential opportunities for methodological and/or software development and the integration of machine learning into the project
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development, and allied disciplines. To learn more, visit us at: https://www.arch.tamu.edu/laup . Why Texas A&M University? We are a prestigious university with strong traditions, Core Values, and a community
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basis until the position is filled. For more information, please visit our website, https://www.microbialchemist.com/ , or contact the department directly. Please note: This position is contingent upon
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professional development: 35% The incumbent will also engage in training and research development activities, as determined in consultation with a faculty mentor. The postdoctoral associate will work with
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The lab of Dr. Kendrick Kay (http://cvnlab.net) at the Center for Magnetic Resonance Research at the University of Minnesota
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) from NIH studies and receive mentorship from faculty investigators toward the development of an independent program of research. Opportunities to become involved with other areas of work will arise
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FTE and program rules. For more information, see: https://hr.ufl.edu/benefits/eligibility/post-doctoral-associates/ . Department of Sport Management The Department of Sport Management (SPM) is committed
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Song, and Josephine Suh. For more information, visit https://het.kaist.ac.kr The initial appointment is for two years and is extendable for one extra year upon performance review and funding situation
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 3 hours ago
advanced computational techniques grounded in physical laws. The research will accelerate the development of reliable predictive capabilities for high-impact, low-frequency rainfall extremes. The successful