88 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University College Cork in Ireland
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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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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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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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fluids, quantum spin liquids and exciton fluids. • Data Management, Analysis & Machine Learning Knowledge and experience in high volume image-array data acquisition and management, development of custom
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form part of the selection process. Project Title: Tackling micronutrient malnutrition and hidden hunger to improve health in the EU (Zero Hidden Hunger EU) Where to apply Website http://www.ucc.ie/en
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of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its discretion, may undertake to make an additional appointment(s) from this competition following
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form part of the selection process. Project Title: Sustainable Futures Where to apply Website http://www.ucc.ie/en/ Requirements Research FieldEngineering » OtherEducation LevelPhD or equivalent Skills
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Garda vetting and/or an international police clearance check may form part of the selection process. Project Title: Sustainable Futures – Environmental Intelligence Where to apply Website http
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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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(12) Months, Fixed Term. Part-time post. ParentChild+ is a home-based early learning and parenting programme supporting families facing socioeconomic disadvantage and strengthening children’s