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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
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 comprehensive benefits
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existing and creating new deep learning-based models for anomaly detection, theoretical and numerical studies of detection quality, creating new distributed computational pipelines and optimizing
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code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different
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decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux
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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel
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(Sustainable Thermo-Fluid Energy Systems, https://www.ugent.be/ea/eemmecs/en/research/stfes ) is widely known for its research on thermal energy. Both experimental and numerical techniques are used in
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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Alliance (CCHA; Advocate Children’s Hospital, and NorthShore University Health System). CCHA has responsibility for the care of almost 1 million children. The Department has expanded its presence to numerous
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the pulsed electric field so that all microalgae in the solution receive the electric field for equal durations. The aim is to continue the numerical study (CFD) already undertaken in this field to find
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directions, J. Energy Storage 84 (2024) 110945. https://doi.org/10.1016/j.est.2024.110945 V. Safari, H. Abolghasemi, B. Kamkari, Experimental and numerical investigations of thermal performance enhancement in