27 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" PhD research jobs in United Kingdom
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Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant. The successful
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well-structured projects, secondments, and training activities. This comprehensive approach ensures that the candidates acquire the multidisciplinary knowledge and skills required to address real-world
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, and/or quantum communications is desirable; evidence of rapid learning and strong research aptitude is essential. You must be willing and able to undertake international secondments and work effectively
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in C++ and/or Python is expected, and experience in model analysis and parameter optimisation is beneficial. Experience in machine learning and neural networks is desirable. The successful applicant
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+to+apply#Howtoapply-Eligibility ) a Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Cognitive Science, Psychology or a related field excellent knowledge in AI and at least one
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) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
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: https://www.brunel.ac.uk/about/our-history/home The Centre for Advanced Powertrain and Fuels (CAPF) at Brunel University London invites applications for a Research Assistant / PhD position as part of
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including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages. 3 A flexible approach to working. 4 A
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date. Recent relevant publications include: Ramage DE. Timms RT (2025) LRRC58 defines an E3 ubiquitin ligase complex sensitive to cysteine abundance. bioRxiv https://doi.org/10.1101/2025.09.23.678073
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Technology. The ALTA institute brings together researchers from Computer Science, Engineering, and across the University to investigate new ways of using technology to enhance language learning and to develop