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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time employees a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow to support the
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, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project The project is in the field of optimization, and in particular the project
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. These activities are underpinned by advanced numerical simulation, data-driven methods, and high-performance computing, enabling high-fidelity analysis and predictive modelling of next-generation energy systems
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data necessary for: Understanding caisson performance in diverse soil conditions, including layered, heterogeneous soils, and sloping seabeds. Numerical model validation and design optimisation by
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dimensionality reduction * development of optimization algorithms and numerical modeling procedures * development of simulation models using commercial packages (CST, ADS, HFSS, etc.) * writing technical reports
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Technology's Enterprise Platforms team, which provides IT solutions and support for numerous administrative units on campus (e.g. Financial Aid, Athletics, Office of the Provost). In this role, the OnBase
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their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling
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based on empirical studies and/or model simulations. The candidate should assemble and evaluate quantitative proxy reconstructions, and apply geospatial and/or numerical modeling methods to investigate