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Field
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, MATLAB) Strong knowledge of intelligent sensing, system integration, and cloud computing Demonstrated ability to produce high-quality research outputs Experience with collaborative research, ideally
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(including Outlook, Word, Excel, PowerPoint). Ability to work independently, but collaboratively on multiple projects. Ability to work strategically with oversight from a Program Manager or senior staff. Other
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grid analytics, and scientific imaging. The successful candidate will design and implement sparse algorithms for large-scale scientific and numerical computations. This role offers an exceptional
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the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins using physics-informed learning approaches, with specific applications to intelligent transportation
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projects in computer vision research, with a particular emphasis on Spatial Intelligence, 3D Computer Vision, and 3D Generative AI. You should hold a relevant PhD/DPhil (or near completion*) in Computer
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interactions and encoding control in space and time. The nuclear envelope exemplifies this principle. Far from a static shell, it is an intelligent boundary—an adaptive interface, not in a cognitive sense, but
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Intelligence (AI) research focused on cardiology-specific applications. Projects will involve developing, training, and validating AI models using diverse clinical data sources such as ECG waveforms, cardiac
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in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers . A leading global research
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You will have a PhD in Computer Science or a related discipline or will have obtained it by commencement of the position. Successful candidates will have experience of model training methodologies