24 algorithm-"Multiple"-"Prof"-"Simons-Foundation"-"Washington-University-in-St" positions in United Kingdom
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Regent College London, part of the Regent Group; | London, England | United Kingdom | about 1 hour ago
leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student-focused, digitally forward, and committed to academic excellence
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Regent College London, part of the Regent Group; | London, England | United Kingdom | about 1 hour ago
leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student-focused, digitally forward, and committed to academic excellence
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The KTP project will enable DeltaXignia to augment their Compare and Merge software capability by leveraging Artificial Intelligence (AI). Their current offer is built using mathematical algorithms
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, their solution uses mathematical algorithms to identify precise differences in content and data, delivering high-speed performance at scale. The project will explore AI technologies for compare-and-merge
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recognised by over 100 research awards, and multiple members of staff have been named by Web of Science as amongst the leading researchers in the world in psychiatry/ neuroscience. We have many research
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recognised by over 100 research awards, and multiple members of staff have been named by Web of Science as amongst the leading researchers in the world in psychiatry/ neuroscience. We have many research
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modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
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, predictive maintenance algorithms, and digital twin technologies tailored specifically for healthcare, aviation, and sanitation industries. You will identify critical operational pain points within
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for Multi-Agent Decision-Making, https://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making
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achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. The main responsibility of the successful applicant will