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‑world adoption. Role Overview We are seeking a postdoctoral researcher to define and execute an ambitious research agenda at the intersection of generative AI and algorithm-hardware co‑design for next
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automated recovery algorithms, improving system resilience. Research Areas for Master’s and PhD Students AI-Enhanced Resource Forecasting and Optimization: Research Focus: Developing and testing ML algorithms
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reducing waste, product failures and emissions. For this master’s thesis you will join our Competence Unit Complex Dynamical Systems , which focuses on the development and deployment of algorithms to control
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the opportunity to develop their own research algorithms suitable for use with SBG-like datasets. This is a unique and rare opportunity for an early-career scientist to advance their research interests
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and then accessed by a team of experts. We are seeking candidates to address these challenges that range from algorithm development, simulation of reference data, algorithmic accuracy evaluations, design of
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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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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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, 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