164 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University College Cork
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/). Machine Learning plays a core role in the Future on AI and Data Analytics. UCC now wishes to appoint a Professor/Chair of Machine Learning to strengthen its Futures in AI and Data Analytics. The new
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pedagogy and digitally-enabled research, integrating these into the teaching, learning and research activities of the University. They will also drive the Library’s vision for Open Education Resources across
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details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence to Dr Laia Raigal, Programme Manager Cancer Research @UCC laia.raigal@ucc.ie Applications must be submitted online
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. Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and management, development of custom software and machine learning techniques
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Salary Scale) For an information package including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence to Dr. Fiona Devoy McAuliffe, Sustainability Institute
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MRIs (available in HIE cases) and radiomic features predictive of school-age MRI extracted. Machine learning algorithms of radiomic features predictive of future brain development will be developed
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requires excellent communication and interpersonal skills, computer literacy, organisation and an awareness of time management. WAYS TO GET IN TOUCH: • For informal enquiries: laia.raigal@ucc.ie
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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 management
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including further details of the post see https://ore.ucc.ie/ Informal enquiries can be made in confidence to Prof. Hannah Daly, Professor of Sustainable Energy, College of SEFS Tel: Email: h.daly@ucc.ie
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI