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time on a 2-year Knowledge Transfer Partnership (KTP) to develop innovative AI-led plug-ins and interventions, and to transform the Business Computer Projects Accord warehouse management system (WMS
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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machine learning by designing and developing innovative models and algorithms. Key Responsibilities: Designing and conducting comprehensive research in artificial intelligence and machine learning, with a
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of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep
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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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Based at: Business Computer Projects, Stockport The role: An exciting opportunity has become available for a graduate to work full-time on a 2-year Knowledge Transfer Partnership (KTP) to develop
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techniques in continuous measurement spaces that have undergone significant fundamental and algorithmic developments over the past 15 years. In particular, they make it possible to explicitly formulate
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on an industry innovation research project where you will be part of the research team to develop a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities: Participate in and manage the research
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deploying suitable analysis pipelines, quality control, publishing support, visualization and rendering services, as well as maintenance of existing tools and development of new ones. Our analyses rely almost
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, and algorithm design for inferring conclusions from multiple sources of information. Uncertainty quantification and propagation is vitally important such autonomous workflows, as is the development