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-temporal-resolution bulk measurements (XAS, Raman spectroscopy, XRD), with particular emphasis on pair distribution function (PDF) analysis. Machine learning approaches will be used to support these analyses
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-generation neuromorphic implants with learning capabilities for healthcare applications, utilizing ultra-low power technology for embedded devices. This topic is a major area of research activity of the IEMN
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or Hartford CT, and 4 hours from New York City, the region contains many opportunities to enjoy outdoor recreation, cultural events, and a strong sense of community. To learn more about Keene State College
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, including health and life insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu
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substantial support from SEAS. Information about Harvard’s current faculty, research, and educational programs in computer science is available at http://www.seas.harvard.edu/computer-science . AI
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 11 hours ago
faculty engage in service to the University, community, and profession. We create physical and digital environments that encourage learning and innovation, build and preserve collections, support research
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later than January 2027. This is a non-tenure track, 9-month faculty appointment (paid over 12 months). The Durham School (https://engineering.unl.edu/durhamschool ) is co-located in two cities, Lincoln
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/40448 Job Number SE217924 Position Information Department or Unit Name Physical Therapy
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discriminate on the basis of race, color, religious creed, age, gender, gender identity or expression, national origin, marital status, ancestry, present or past history of mental disorder, learning disability
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. We envisage combining process-based modelling and machine learning, as well as integration of Earth observation data into the modelling framework. The objective is to quantify the GHG budgets