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methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics
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Applications are invited for the following position: Title of Post: Research Assistant in ADAS Systems JOB SYNOPSIS The successful candidate will undertake the development datasets, machine learning
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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical
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concepts from nonlinear system identification, optimisation, computational complexity, and data-driven modelling, with the long-term objective of extending these ideas to modern AI and machine learning
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innovation projects into SMEs across the border region. Essential Qualifications PhD in Electronic Engineering, Telecommunications, Computer Engineering or a related field or exceptionally, equivalent
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transferable insights with the potential to inform sectoral thinking and practice. (2) An impact evaluation of the newly established Learning Innovation & Research Hub. College has established this Hub
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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neuroimaging methods to better detect disrupted function following neonatal brain injury, and identify new more energy efficient learning algorithms that could reduce the economic and environmental cost of AI
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the field of Educational AI. The position is expected to be for a duration of 12 months. LEAP-LA pioneers agentic AI solutions aimed at reframing learning experiences and advancing practices through learning
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-LA pioneers agentic AI solutions aimed at reframing learning experiences and advancing practices through learning agents. The team envisions an AI-native learning platform that delivers activities