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331: Electronics; Marwan Kannan ECSE 343: Numerical Methods in Eng; Roni Khazaka ECSE 353: Electromagnetic Fields & Waves; Odile Liboiron-Ladouceur ECSE 354: Electromagnetic Wave Propagation; Milica
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Engineering, Physics, Applied Mathematics, or related discipline. Proven track record in numerical methods and computational fluid dynamics. Proven track record in machine-learning methods for computational
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opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel
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Inria, the French national research institute for the digital sciences | Bordeaux, Aquitaine | France | about 2 months ago
architecture. More info on the ANR DeepPool project: https://team.inria.fr/mnemosyne/deeppool/ The engineer project will explore one or several of the topics of the ANR project above. The methods developed will
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translational research efforts. May develop an independent research program focused on genetics of susceptibility to complex disease or on development of computational methods for genetic research. Contributes
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to address computational challenges in different scientific domains. The successful candidate is expected to design, develop, and integrate novel computational techniques, including software and numerical
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 months ago
-driven sampling within hard-to-learn areas for simulation-based neural network training, NeurIPS ML4Phys 2023: https://hal.science/hal-04305233v1 Melissa: Simulation-Based Parallel Training, NeurIPS AI4S
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circuits for enhancing computing efficiency through parallelism. The PhD student will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 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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schools and two workshops. As a participant of the project, the PhD student will become part of a team at DTU with numerical and experimental expertise in photonic computing. The activities within