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that seeks to achieve transformative and far-reaching impacts to address the contemporary polycrisis. Building on Dr Ian Hughes’ foundational leadership, and research with others across UCC and beyond, Deep
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and Services and Sustainability and Operations. Project Title: Supply Chain Management by Deep Reinforcement Learning Post Duration: 1 year Salary: €43,908 - €50,302 p.a. (IUA PD1 Salary Scale
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, Nature Communications, Geology and Earth-Science Reviews. Project Title: The causes and consequences of deep-time land ecosystem collapse Post Duration: 2 years Salary: €43,908 - €50,302 (IUA PD1 Salary
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integrating diverse data to construct a deep learning-based condition assessment model of underground infrastructure. The condition assessment model is dedicated to bridging underlying correlations between
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the advancement of explainable AI in the biomedical domain. The Post-Doctoral Researcher will be expected to perform research and development in the area of machine learning and deep learning applications
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facilitating a deep connection between groups of artists, citizens and scientists; - Blue Mission AA, a coordination hub to support the Mission implementation in the Atlantic and Arctic Basin
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of the following tasks: - To apply deep-learning (fully-convolutional neural networks) to further refine existing codes for morphological analysis and classification. - To develop finer scale geomorphological
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different strategies including homology-directed repair (Hollywood 2016; https://pubmed.ncbi.nlm.nih.gov/27557525; Santos 2021; https://pubmed.ncbi.nlm.nih.gov/34103250) and targeted excision of deep intronic
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at the cutting edge of micronutrient research. The ideal candidate will have/be: • A PhD qualification in Human Nutrition. • Deep knowledge of food data, including composition, intake and analysis. • Good
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of deep-time land ecosystem collapse Post Duration: 2 years Requirements Research FieldEnvironmental science » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Key duties and