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GitHub. Essential Duties and Responsibilities: Assist in the development and implementation of AI agents and machine learning models for civil engineering applications Develop, test, and optimize models
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development to support extended reality technologies, machine learning pipeline integration, integration of sensors/devices to mobile platforms, and creating novel clinical decision support applications for our
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for information-driven experiment steering (closed-loop control) Work in an interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn
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the last 60 month(s). Discipline(s): Computer, Information, and Data Sciences (4 ) Engineering (1 ) Veteran Status: Veterans Preference, degree received within the last 120 month(s). ORISE GO The ORISE
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an excellent opportunity for someone eager to grow their skills in clinical research with an emphasis on novel technology development. Why should I apply? Under the guidance of a mentor, you will learn
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engineering Engineering » Other Engineering » Mechanical engineering Engineering » Industrial engineering Engineering » Other Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions
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interdisciplinary team of engineers, computer scientists, and life scientists Regularly participate in international conferences to present your own work, and learn about state-of-the-art machine learning and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
is also leading the development and validation of novel machine learning methods for LEGEND simulations and analysis. We have been heavily involved in constructing, commissioning, and operating
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated