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Field
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This position will implement and optimize algorithms which will combine strong mathematical foundations with software engineering skills to create efficient, real-time signal processing solutions, with a primary
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accordance with placement guidelines, fill algorithms, and in collaboration with PFCs as needed. Prioritize patient placement from multiple in-coming locations, i.e., home, clinic, outside hospital transfers
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment, to study
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Posting Details Position Information Job Category Faculty Position Title Assistant Professor of Computer Science Working Title Assistant Professor of Computer Science Scheduled Hours Per Week Salary
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scientific and technical literature; designing, adapting, and implementing computational methods, algorithms, software, simulations, prototypes, and experimental procedures to meet specific research objectives
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 10 hours ago
scientific and technical literature; designing, adapting, and implementing computational methods, algorithms, software, simulations, prototypes, and experimental procedures to meet specific research objectives
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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The activity involves
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and make energy use more efficient. We develop novel optimization methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings
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public service. Job Description The Research Assistant will support the development and implementation of machine learning algorithms for cyber-physical attack detection in electric power systems