192 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions at University College Cork in Ireland
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, University College Cork. The Bacteria & Cancer theme, led by Mark Tangney, involves the study and/or and application of bacteria in cancer settings https://www.ucc.ie/en/cancer-research/people/mark-tangney
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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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Physical Education as well as potential to teach across programmes within the School of Education. Reporting to the Head of School the appointee will be expected to contribute to teaching, assessment, school
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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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application process see https://ore.ucc.ie/. The University, at its discretion, may undertake to make an additional appointment(s) from this competition following the conclusion of the process. Informal
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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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(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
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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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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