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Havoutis Year 1 MSc Course: MSc Robotics Year 2 – 4 PhD Location: Oxford University Research Abstract: This PhD project will focus on developing an AI-based system for multi-collaborative scouting and
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is to develop a highly innovative ‘Lab on a Bench (LoB)’ setup, integrated with Machine Learning algorithm, as a high throughput method for screening and developing formulated products that are used in
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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, both in the classical and parameterized setting. The goal is to develop general tools that can provide efficient algorithms for a wide range of graph modification problems. Find more general information
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. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image
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how such systems operate in practice, exploring their social and policy impact, or developing technical or regulatory mechanisms that support transparency, oversight, and accountability. The position
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) Theoretical machine learning development – Designing new AI algorithms with broad applications, potentially extending beyond medicine. Our work includes explainable AI, AI in robotics, and geometrical modelling
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of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy-efficient. Project data Title: UDC-Inditex Chair of Artificial Intelligence
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. Variational Autoencoders, Normalized Flows, Generative Adversarial Networks) Have experience in developing fast algorithms for hard combinatorial optimisation problems. Have some knowledge about stochastic
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opportunities for lawyers to help shape the AI revolution itself. Do you want to develop the research expertise and skills to ensure that the benefits of AI systems are realised without introducing harm as the