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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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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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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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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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to the director of the Trinity Centre for Asian Studies, this Research Fellow post supports a major strategic initiative to expand Cantonese teaching and learning at Trinity College Dublin. The role aligns with
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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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(which in addition to Geology also includes Geography, Botany and Zoology) and as part of the E3 learning foundry which includes the School of Natural Sciences, the School of Engineering and the School
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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
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and/or an international police clearance check may form part of the selection process. For an information package including full details of the post, selection criteria and application process see https
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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