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programme. The specific collaborative project with industry is to continue a line of research developing machine learning and data analytics techniques to model the dynamic response of specific technical
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in a world-class research institute on applying state-of-the-art machine learning methods to an industrial problem. Ideally the candidate should have a background in reinforcement learning, especially
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must have concluded a PhD in Computer Science, Data Science, Artificial Intelligence, Computer Engineering or related area (essential). • The candidate should have a background Data Science/Machine
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research within the Insight Centre for Data Analytics programme. The specific collaborative project with industry is to continue a line of research developing machine learning and data analytics techniques
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stakeholders, knowledge sharing, and building relationships. • This role requires excellent communication and interpersonal skills, computer literacy, organization and an awareness of time management
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semimetals, magnetic monopole fluids, quantum spin liquids and exciton fluids. • Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and
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machine learning and modelling of complex datasets requiring integration. S/he will curate, clean and analyse all data, developing appropriate algorithms and pipelines. UCC is an accredited research
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Intelligence, Computer Engineering or related area (essential). · The candidate should have a background Data Science/Machine learning with experience in Large Language models and/or conversational AI
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communication and interpersonal skills, computer literacy, organisation and an awareness of time management. This is a full-time post but appointments with reduced hours will also be considered. Project Title
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of the shallow regions, but in the absence of ground-truthing, must rely on computer algorithms to facilitate the task. Machine Learning and geomorphometry analysis can enable the categorisation of rock