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model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed-oriented research. The work will be carried out in the new
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Post-Doctoral Research Fellow to develop and apply advanced machine learning techniques to medical imaging and diagnostic applications, including Cardiac Magnetic Resonance (CMR), Echocardiography (ECHO
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data-driven approach, involving data science/statistics/machine learning methods, and will be informed by clinical literature and practice. NOTE: Applicants must have been resident in an EU member state
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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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an ideal candidate with expertise in cutting-edge fields like artificial intelligence (machine learning), deep learning, mathematical modelling and systems biology. Proficiency in clinical data analysis
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must have concluded a PhD in Computer Science, Data Science, Artificial Intelligence, Computer Engineering or related area (essential). • The candidate should have a background Data Science/Machine
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how they meet the following essential criteria: A PhD qualification. Extensive competence and experience in machine learning and data analytics, including modelling of medical equipment and industrial
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body or body-part is the actors own. This particular RA role will be related to using machine learning to enhance embodiment of humans and animals. This will involve working with the PhD and Postdoc
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20,000 students in five faculties spread across three academic campuses in the Glasnevin-Drumcondra area of North Dublin. Thanks to its innovative approach to teaching and learning, the University offers a
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Intelligence, Computer Engineering or related area (essential). · The candidate should have a background Data Science/Machine learning with experience in Large Language models and/or conversational AI