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Field
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scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation Experience applying machine learning or AI to molecular simulation
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Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop algorithms
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routine background checks. Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms
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involving optical imaging, ultrasound systems, and/or contrast agents Develop computational models and reconstruction algorithms for imaging systems Analyze experimental data and prepare manuscripts
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, curate, and analyze field measurement datasets and associated environmental and economic information for model parameterization and validation. Develop or enhance model algorithms simulating carbon and
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by working to develop novel algorithms on finite element method, isogeometric analysis, geometric modeling, machine learning and digital twins to study various applications such as computational
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beyond traditional error estimators, creating physics-based adaptation algorithms that intelligently predict where refinement will be most beneficial for smarter, more efficient simulations. We seek
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or accelerated acquisition and reconstruction algorithms will be highly valued. Instructions Interested candidates should apply via Interfolio link with their CV (including a full list of publications), a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding
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dwarfs and/or the high-precision RV survey of solar-type stars being conducted with the NEID instrument on the WIYN 3.5m telescope; (2) improving technology, algorithms, and data analysis to mitigate