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theory. experience with time-dependent simulations of quantum many-body systems. background in atomic physics, attosecond physics or correlated quantum mechanical systems. proficiency in numerical
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is available online at https://www.mnsu.edu/safety/ . You may also request a paper copy from University Security at 507-389-2111, or by emailing security@mnsu.edu. Minnesota State University, Mankato
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
The spectacular development of space systems and sensors, for observing the Earth and other Planets, provides access to numerous geophysical, geochemical and biophysical parameters over vast areas with increasingly
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
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program in one or more of our core areas (https://cse.gatech.edu/research ): high-performance computing; data science and visual analytics; scientific computing, simulation, and computational math
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, the IDLab research group (https://idlab.ugent.be/home ) performs research on 1) connectivity and 2) data science & artificial intelligence. In these research areas we focus on 1) foundations, 2) system design
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the application process. The incumbent will also support numerous online and on campus recruitment events for SJSU Online and Student Outreach and Recruitment. Key Responsibilities Through an inbound and outbound
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Open to All Candidates Department AAH CAHS Physician Assist Studies Department Homepage https://pa.ecu.edu/ Advertising Department PHYSICIAN ASST STUDIES Division Academic Affairs Classification Title
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flow and heat-transfer simulations (DNS, LES) over AM-induced rough surfaces. Develop new heat-transfer and pressure-drop correlations based on roughness metrics (height, skewness, kurtosis, frontal