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the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive correlation between in-situ process data and end part quality
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collection, and data analysis. Work activities may include the following. • Developing analysis tools to extract physical meaning from in-situ process data. • Developing machine learning algorithms to drive
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on the design, development, and realization of future communications technologies. You will be part of the team and contribute to ongoing developments in theory, algorithms and translation to practice in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
algorithms that predict individual responses to food and dietary patterns. The NPH Consortium consists of 12 awardees across the US with whom UNC is partnering to implement data collection and analysis
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solutions using first motion. Experience in full waveform inversion using innovative tools (e.g. ISOLA) and methods (ML), earthquake location algorithms, computer programming and geophysical equipment
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algorithms and scalable models for real-world evidence generation. The role will involve both method development and applied research, with opportunities to publish in leading journals, present at top
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a
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properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
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MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms
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Now Accepting Applications for Postdoctoral Associate positions in Computer Science, Data Science, and Economics 2025 – 2026. Center for Algorithms, Data, and Market Design, Yale University