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significant reductions in manufacturing-related CO₂ emissions. The ambition is to develop innovative technological solutions that reduce energy losses and minimise environmental impact throughout the product
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analysis and its theoretical or algorithmic foundations, or in other research areas at the interface between optimization, geometry and/or convexity. Academic links to the department’s existing research
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participate in major proposal preparation and presentation Required Skills/Experience areas include: Algorithm development and analysis spanning data fusion, object tracking and classification, and/or
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safety and computational social choice and develops formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research
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Overview We are seeking an experienced researcher to develop decentralised swarm mapping and localisation algorithms for underground pipe operations as part of an international research programme
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to science and engineering domains. Design, develop, test, benchmark, deploy, and tune agentic AI software frameworks and multi-fidelity optimization algorithms to close the feedback loop for automated
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 13 hours ago
technologies are particularly encouraged to apply, including those developing scientific machine learning, quantum computing algorithms, advanced numerical methods, and full-field or in-situ experimental
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. The Role Faculty of Environment, Science and Economy The successful applicant will contribute to the project NATALIE by developing AI algorithms that integrate data from various sources to better understand
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complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational frameworks and approaches spanning sensing optimisation, adaptive
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in social media, algorithm design, and interventions to support well-being 40% Leading the system development and implementation of the mobile app 20% Dissemination via articles, conference