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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
involves integration with cloud services, distributed storage networks, and the dedicated computing cluster supporting Array operations. The Data Production Engineer will bring the real-time analysis
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develop new communication theory and signal processing algorithms. The goal will be to develop theory, algorithms, and network architectural concepts to deliver ubiquitous network services across the globe
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the power of cutting-edge digital technologies to implement and manage FAIR (Findability, Accessibility, Interoperability and Reusability) environments for data management and algorithm preservation and
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to improve device autonomy. Tasks related to WP6: Bench and field tests, validation, assessment - Develop and apply artificial intelligence (AI) algorithms for the analysis of large volumes of biometric data
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
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), Dedicated HPC solvers (domain decomposition, parallel/distributed computing), Formulation and solution of optimisation problems (automation, optimal structural design). The developments will follow open
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the horse racing and equestrian industries. • Track social platform updates and algorithm shifts to optimize content performance. • Manage digital assets and relationships with in-kind sponsors and brand
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proficiency in information technology, with particular emphasis on the design of information systems, distributed and mobile systems, cloud solutions, virtualization, containerization, operating systems
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing