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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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, earth sciences, energy systems, or material sciences University degree (M.Sc. or equivalent) in applied mathematics or in computational engineering science, computer science, simulation science with a
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, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good
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, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
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book carts, and assist with physical relocation of books and materials Minimum Requirements: Currently enrolled in the MLIS program Strong written and verbal communication skills Basic computer literacy
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eligible for initial clearance at Oak Ridge National Laboratory. Application materials must be submitted to Interfolio at https://apply.interfolio.com/178934 Application reviews will begin immediately and
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. The RA II will provide administrative, organizational, and intellectual support to the project. Specific tasks include but are not limited to: helping with the day-to-day running of our online program
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Scheduled Hours 40 Position Summary WashU Medicine, Department of Neurology, has an opening for a Research Assistant (Gap year) to join the NeuroGenomics and Informatics Center (NGI). This position
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devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first principles and empirical approaches to advance the physics and engineering