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developing a screening tool to support clinical evaluation for psychosis risk, powered by generative artificial intelligence. You will lead a project to develop a novel research method for identifying and
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ARIADNE – an interdisciplinary research project developing a screening tool to support clinical evaluation for psychosis risk, powered by generative artificial intelligence. You will lead a project to
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. The applicant should be holder of a PhD in artificial intelligence/machine learning and possess excellent background in agentic systems, large language models and/or continual learning besides analytical
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. Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in professional work. Applicants may use AI tools to support preparation of their application, for example to research
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have completed the requirements for a first degree in computer science, artificial intelligence, bioinformatics, computational biology or a related quantitative discipline before taking up
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(OVG) as part of the Correlates of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven
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candidates with expertise in areas such as: Construction Informatics Digital Engineering BIM and Digital Twins Artificial Intelligence and Machine Learning Automation and Intelligent Systems Smart
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, working in collaboration with OPIG, which is internationally recognised for its research at the interface of immunoinformatics, protein structure, artificial intelligence, and computational biology. You
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led by Prof. Dame Sarah Gilbert’s group, working in collaboration with OPIG, which is internationally recognised for its research at the interface of immunoinformatics, protein structure, artificial
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. About You You should hold, or be close to completing, a PhD in robotics, computer vision, artificial intelligence, computer science, engineering, or another closely related discipline. You will have