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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 6 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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Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and
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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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scientific computing, control theory and optimization, operational research, machine learning, probability, and related applications. The Department delivers courses for three four-year undergraduate
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5) to support clinical research protocols. Join a high-impact, interdisciplinary program at the intersection of epilepsy, neuromodulation, and sleep biology. We seek a motivated, ambitious research
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venues in computer science, game theory, control theory, algorithms, and related fields. Engage with collaborators and research stakeholders to share progress, incorporate feedback, and advance project
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Interaction and Human-Centred Computing Computer Vision and Multimedia Natural Language Processing Robotics and Autonomous Systems Algorithms, Optimisation and Theoretical Computer Science Responsible
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, or related RF sensing platforms. Strong knowledge of signal processing, machine learning, computer vision, or AI algorithms for sensing applications. Experience developing experimental systems and conducting
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generation data analysis pipelines. Assists in analysis pipeline and algorithms development and validation. Extracts features of interest from data relating to specific biological questions. Contributes
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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