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the Institute's website at: http://materialscience.uoregon.edu . Position Summary The Materials Science Institute seeks qualified applicants for its open research faculty pool. Positions are limited duration
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into other foundational topics. More information about the Institute for Fundamental Science at the University of Oregon may be found by visiting the Institute's website at: http://ifs.uoregon.edu
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
to strategically position itself for sustained impact, as articulated in the School’s Strategic Plan (https://pharmacy.unc.edu/about/oe/strategic-plan/). Our Vision is to be the global leader in pharmacy and
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: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/29926 ), Qualified candidates should submit a short cover letter, curriculum vitae, contact information for three references
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focus on developing play-based learning resources and interdisciplinary multimedia projects, with some aspects overlapping with formal STEM education and policy. In addition to project responsibilities
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Education & Experience: PhD in Computer Science, Visualization, Cartography, Geographic Information Science, or a closely related field. Strong background in visualization, computer graphics, or perceptual
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materials modeling and mechanics, including molecular simulations, multiscale modeling, and/or machine‑learning‑based materials design Demonstrated publication record in peer‑reviewed journals relevant
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of the University. Anticipated starting date January 2026. For more detailed information on the application and hiring process, please view the link below: http://www-admn.csun.edu/ohrs/employment/ Equal Employment
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. Experience working with a high-performance computing (HPC) environment. Familiarity with machine learning and advanced statistics. Experience with analysis of time series data from intracranial EEG (iEEG