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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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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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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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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
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(essential). Advanced experience in GIS (essential). Appropriate experience (essential) in either (1) machine learning (fully-convolutional neural networks) applied to remotely sensed data, either/or (2
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mass cytometry. A bioinformatician, conversant with different machine learning and modelling of complex datasets requiring integration. S/he will curate, clean and analyse all data, developing