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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
applications such as the method of least squares and introduction to coding theory. Lecture Section: LEC01: WED 10-11am & FRI 10am-12noon Course Enrollment (est.): 100 Number of Positions (est.): One
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 days ago
applications such as the method of least squares and introduction to coding theory. Lecture Section: LEC02: WED 3-5pm & FRI 2-3pm Course Enrollment (est.): 100 Number of Positions (est.): One Qualifications
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the integrated lenses of political theory, social science, and computer science, examining how democratic societies can shape AI systems that increasingly shape our political, economic, and personal lives
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Organization National Aeronautics and Space Administration (NASA) Reference Code 0287-NPP-NOV26-GSFC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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Hanyang University, Department of Physics Position ID: Hanyang University-Department of Physics-POSTDOCCOMP [#31717] Position Title: Position Type: Postdoctoral Position Location: Seoul, Seoul
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high
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Vacancy: Yes Description: Course number and title: MIE407H1/MIE1129H- Nuclear Reactor Theory and Design Note: This course is cross‑listed at both the undergraduate and graduate levels. The two course codes
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of fluid or kinetic plasma simulation codes Axion or dark photon phenomenology Astrophysical observation and data analysis Analytic plasma theory Compact object astrophysics Laboratory astrophysics
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of SciencesCountryPolandCityWarsawPostal Code02-668StreetAleja Lotników 32/46Geofield Contact City Warsaw Website http://www.cft.edu.pl/en/index.php Street Al. Lotników 32/46 Postal Code 02-668 E-Mail cft@cft.edu.pl Mobile
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, or a related area. Strong background in statistical theory for high-dimensional data. Computational skills in R and/or Python (ability to develop user-friendly codes). Strong written and oral