24 distributed-algorithm-"Newcastle-University"-"Newcastle-University" PhD research jobs in United States
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anticipated include imaging phantom-based evaluation of quantitative SPECT/CT; reconstruction algorithm development; establishing a secondary standards laboratory for unsealed source metrology through gamma
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preprocessing IoMT network traffic datasets. Implement and evaluate machine learning algorithms (e.g., logistic regression, SVM, random forest) for intrusion detection. Develop prototype software tools (e.g
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programs development. This position will work closely with the Center’s Director and collaborate closely with faculty, industry partners, and students to lead high-impact projects in microgrids, distributed
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of systems, equipment, and facilities for the production, processing, storage, handling, distribution, and use of food, feed, and fiber. This position offers an opportunity to work on innovative projects
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of systems, equipment, and facilities for the production, processing, storage, handling, distribution, and use of food, feed, and fiber. This position offers an opportunity to work on innovative projects
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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join a growing, interdisciplinary team whose projects span laboratory-level and nationally significant DOE missions. Essential Duties and Responsibilities Develop novel machine learning algorithms and
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locomotion. Apply machine learning and machine vision algorithms to track body and limb movements. Use biomechanical modeling to analyze walking data and fit locomotion models. Operate a force sensor to
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deep learning and scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest
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scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks