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. By integrating cutting-edge multi-agent systems, federated learning, and game theory, this project will develop sophisticated decentralised algorithms that enable autonomous vehicles (AVs
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techniques from statistical physics, Bayesian inference, and complex systems theory to address challenges posed by noisy and incomplete data. Depending on the results obtained in the first year, the post can
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Natural Language Processing, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking
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. This KTP is a great opportunity for someone who wishes to plan and deliver business change. You will work with senior University academics on a commercial project which puts theory and modelling
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deliver business change. You will work with senior University academics on a commercial project which puts theory and modelling into practice. Candidate Profile: Minimum Masters’ level degree in Artificial
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mentor students as they apply academic theory to practical workplace situations. We are looking for colleagues that have: Experience in supply chain management, logistics, or procurement. A passion for
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University academics on a commercial project which puts theory and modelling into practice. Candidate Profile: Minimum Masters’ level degree in Artificial Intelligence (AI) and/or Data Analytics with relevant