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strong background in Mathematical Optimization and/or Numerical Analysis is desirable. Completed the previous degree with an excellent GPA (top 10% of class as a guideline) Proficiency in English to be
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Description The Industrial Informatics group at FEE/RICE is focused on the application of advanced optimization techniques to: i) design of new electro-mechanical devices using numerical simulations, ii) system
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours 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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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across
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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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devices using broadband spectroscopy and electron microscopy The position offers a stimulating interdisciplinary environment and opportunities to develop advanced skills in numerical optimization
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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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today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current
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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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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