446 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" positions in Ireland
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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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. More information on our research can be found on our lab webpage https://www.browne-lab.org/ . Please contact Dr. Hilary Browne hilary.browne@ucc.ie for informal enquiries. The primary role is to
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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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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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of Microbiology and APC Microbiome Ireland in University College Cork. More information on our research can be found on our lab webpage https://www.browne-lab.org/. Please contact Dr. Hilary Browne hilary.browne
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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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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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Agencies will be returned. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/ Where to apply
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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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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