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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
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organisational and time-management skills, with the ability to manage multiple tasks. The ability to work both independently and as part of a collaborative team, often across disciplines. A demonstrable interest
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individuals who have: Strong organisational and time-management skills, with the ability to manage multiple tasks. The ability to work both independently and as part of a collaborative team, often across
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individuals who have: Strong organisational and time-management skills, with the ability to manage multiple tasks. The ability to work both independently and as part of a collaborative team, often across
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multiple disciplines and national institutions. What you will do Leadership: Lead diverse AI projects, adapting your approach to meet the specific needs of clients and teams. Community engagement: Lead
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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have designed and introduced new control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the
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will include contributing to our clinical NLP tools, algorithms and interfaces used by clinical specialists. The post holder will be expected to be able to contribute in the following areas: Extend our
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network performance across multiple layers and levels of abstraction The ideal candidate will possess strong expertise in quantum communication and networking, with a solid command of both theoretical