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machine-learning models to investigate how brain, environment and social factors influence cognition, ageing and neurodegenerative disease. The role will contribute primarily to WP6 and related analytical
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analytical, computational and communication skills are essential. Please note that Garda vetting and/or an international police clearance check may form part of the selection process. Project: Advanced Ocean
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, an innovative initiative funded through the Strategic Alignment of Teaching and Learning Enhancement (SATLE) programme. The successful candidate will contribute to research and planning that enhances doctoral
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development. The position requires strong analytical thinking, a willingness to learn, and the ability to work collaboratively in a fast-paced technical environment. Salary: Research Assistant Level I (2026
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application development, artificial intelligence and data analytics. Candidates with a background in other areas such as radio localisation and mobile healthcare applications may also be considered. Experience
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one or more of open-source software system integration, network and embedded system implementations, mobile application development, artificial intelligence and data analytics. Candidates with a
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regulatory requirements Work with digital assessment platforms and learning management systems Use data analytics to support decision-making and continuous improvement Contribute to scholarship in assessment
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data, learning analytics and sector insight to evaluate impact, identify opportunities and support continuous improvement. Contribute to strategic projects that support institutional growth, innovation
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analytical chemistry and mass spectrometry expertise to support the project's research activities. Working under the direction of the Principal Investigator, the appointee will support the development and
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candidates will have experience in artificial intelligence, deep learning or decision support applied to RF sensing, wireless communications and signal processing. A strong background in multimodal data