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initiation in the following areas are helpful: Strong background on computational fluid dynamics (CFD) and design software using ANSYS and SolidWorks. Experience on high performance computing is desirable
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Computing Institute at the University of Utah was founded in 2000 to solve important problems for humankind by performing cutting-edge collaborative scientific computing, image analysis and visualization
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supervision from the Laboratory Supervisor or Principal Investigator (P.I.). The position is responsible for performing high level laboratory procedures relating to the laboratory’s ongoing program and
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Assistant 1. SUMMARY The Research Assistant 1 contributes to research investigators by providing research and experimentation support while following established protocols. The Research Assistant 1 performs a
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engineering, and hyperparameter tuning to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record
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understanding of the mechanisms of initiation, progression, and therapeutic resistance in lung cancer. The lab has established the use of multiple high-throughput screening technologies, genomics, proteomics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
lifelong learning and enjoy 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
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include high entropy carbides, nitrides, borides, oxides, and mixed components for a variety of applications. • Assist in performing a variety of testing and analytical materials characterization using
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, Karen, Oromo, and Somali. The supervisor for this position is Jacob Oertel, RIDGS Program Coordinator. Appointment Dates ● Fall Semester 2025 appointment dates are August 25 - January 7, 2026 ● Spring
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry