233 machine-learning-"https:" "https:" "https:" "https:" "https:" uni jobs in United Kingdom
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, G. et al. Machine learning and wearable sensors for automated Parkinson’s disease diagnosis aid: a systematic review. J Neurol 271, 6452–6470 (2024). https://doi.org/10.1007/s00415-024-12611-x Nayan
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C. Yin, P. Xiao, V. Sharma, Z. Chu, Garcia-Palacios, Machine Learning Based Physical Layer Security for Detecting Active Eavesdropping Attacks, IEEE Commun. Lett., 1-5, 2025. Bowman, T., Georgalas
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, student engagement and supporting the development of future FinTech professionals. In this role, you will: Teach at undergraduate and master’s level, including lectures, seminars, tutorials and computer lab
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students and supporting their academic development. In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act as a personal tutor, providing
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, student engagement and supporting future data scientists and statisticians. In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act as a
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. This project will develop responsive manufacturing technology that will have sufficient flexibility to overcome such problems by utilizing intelligent machine learning to control the printing process in real
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and machine learning techniques for the design of superconducting qubits, one of the leading qubit modalities used in today’s quantum computers. The optimal design of superconducting qubits is a highly
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computing, human–computer interaction, software and hardware development, machine learning, public interest technologies, digital literacy, sensors, networks, or other EPSRC-relevant technologies. One week
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students and supporting their academic development. In this role, you will: Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions. Act as a personal tutor, providing
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the Manchester BHF CRE: Geometric Deep Learning for Complex Manifolds: Novel deep learning theories, models and architectures to simulate interactions within non-Euclidean, patient-specific cardiovascular