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23 Aug 2025 Job Information Organisation/Company Simula Metropolitan Center for Digital Engineering Research Field Computer science » Other Researcher Profile Leading Researcher (R4) Established
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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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for computation. This is especially useful for distributed and federated AI, where the input of one node is often a function combining the output of many other nodes. AirComp offers a significant scalability and
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@umoncton.ca]Context & Motivation:Because of their extreme computational needs where workloads demand rapid and significant shifts in power consumption, next-generation high-performance computing (HPC
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: [mohamed.lamine.faycal.bellaredj@umoncton.ca]Context & Motivation:Because of their extreme computational needs where workloads demand rapid and significant shifts in power consumption, next-generation high-performance computing
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computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
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State University of New York University at Albany | Albany, New York | United States | about 1 hour ago
Administration and Policy and (2) Faculty Affiliate with the Information Science Ph.D. Program. Primary Responsibilities: Preparation of research proposals Literature reviews Empirical fieldwork (collection
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to scientific publications. Operates, maintains, and troubleshoots standard laboratory equipment. Organizes laboratory stock, maintains inventory, and distributes supplies as needed. May assist in training and
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standard laboratory equipment. Organizes laboratory stock, maintains inventory, and distributes supplies as needed. May assist in training and onboarding new staff and assigning tasks to employees at lower
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications