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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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. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing
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distributed network of radiation detection sensors. The Senior Data Manager supports the Facility and Systems Security (FSS) Group; works closely with the ORNL Radiation Inspection Systems Team (RIST
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, queues, and pointers in the implementation of algorithmic techniques including recursion, divide and conquer, and dynamic storage management. Graded ABCDE SWE 535 - Software Architecture and Design
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 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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or a closely related field. • You have experience in matrix algorithms, data compression, parallel computing, optimization of advanced applications on parallel and distributed systems
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(Preferred) Stay informed about video marketing trends and experiment with new techniques to improve engagement Optimise video content for search engines and social media algorithms to maximise reach Manage
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to be in alignment with the program goals and activities to share information and ensure compliance with the data distribution. Work Hours: Monday – Friday – 8:00 – 5:00. Primary Function
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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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group , led by Prof. Glenn van de Ven, is part of the Department of Astrophysics . The research group constructs detailed dynamical models of galaxies and stellar clusters to infer the distribution