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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 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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choose from several health coverage options offered by The Texas A&M University System for themselves and their families, as well as numerous other benefit programs. https://www.tamus.edu/business/benefits
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research on predefined topics contributing to SnT's and POST Luxembourg's R&D activities. This position involves conducting full-scale research, from reviewing state-of-the-art methods to implementing and
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 2 months ago
Student (f/m/d) in Quantum Algorithms for Fluid and Environmental Flow Modelling. Your tasks # Development and implementation of numerical and algorithmic methods for the simulation of fluid-dynamical
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context The position is based in the Mechanical Engineering Department and the Roberval Laboratory,within the Numerical methods in mechanics team. The successful candidate will report to the UTC project
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 2 months ago
science as part of the ERC Starting Grant project Incorwave, which aims to develop advanced numerical and mathematical methods for passive seismic imaging. The research will focus on two key-directions: (1
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includes geologists, atmospheric scientists, paleontologists, and oceanographers. Additional information about the department may be found at: https://science.gmu.edu/academics/departments-units/atmospheric
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Proficient communication skills. Preferred Qualifications and Experience: Experience in teaching undergraduate and/or graduate courses and laboratories in: Design, numerical methods, machine learning and
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design and balanced mix design standard development. • Model pavement behaviours using analytical and numerical methods with the end goal in modification of mechanistic empirical pavement design and
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mathematicians, and domain scientists Develop software that integrates machine learning and numerical techniques targeting heterogeneous architectures (GPUs and accelerators), including DOE leadership-class