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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates
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and optimize TD-RAS (time-dependent restricted-active-space) methods for many-body systems including positrons. - Carry out large-scale numerical simulations of photoionization and de-excitation
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Heidelberg University is a comprehensive university with a strong focus on research and an international standards. With around 31,300 students and 8,400 employees, including numerous top
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) programmed toolpaths to run Computer Numerical Control (CNC) conversational (ProtoTRAK®) and fully CNC controlled (Haas) machining centers. Builds knowledge in machining, precision measurement, and print
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impact. Tasks: Research Objectives: Definition of a suitable interface region based on the results from other IRP. Numerical analysis of the emission propagation in the near field of the re-entering
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
, 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 pharmaceutical sciences. Our Mission is to
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
, 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 pharmaceutical sciences. Our Mission is to
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manufacturing teams to develop solutions that optimize performance while ensuring manufacturability Summarize key findings for technical and non-technical audiences Build code: Integrate simulation models with
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This opportunity adds to the portfolio of projects within the new CDT for Innovation for Sustainable Composites Engineering launched in 2024: https://www.bristol.ac.uk/composites
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full