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-centered AI. Publish outputs in high quality outlets in artificial intelligence or decision support. Develop a coherent research program and an emerging research profile in human-centered artificial
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seminars, workshops, or training activities aligned with the project. Who we are looking for - Selection Criteria: Essential PhD (or equivalent) in Computer Science, Software Engineering, Artificial
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Artificial Intelligence focus. Please note: To be eligible for this role you must have no more than 3 years (full-time equivalent) of relevant research experience. Demonstrated experience in data integration
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of these publications and your part in these. Selection Criteria: Essential PhD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial
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discover them The Opportunity We are seeking a talented and motivated Research Fellow to join the Department of Data Science and Artificial Intelligence (DSAI) and contribute to Professor Geoff Webb’s
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Academic Level B: Completion of a PhD in the field of Computer Science/Artificial Intelligence. Software engineering expertise, including design and implementation of AI-based models (machine learning, deep
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are looking for a Postdoctoral Research Fellow who has: a PhD (or in near completion) in the relevant fields of Artificial Intelligence, Machine Learning, HCI demonstrated contributions to publications in top
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advanced computational and genomic approaches. The successful candidate will work as part of a funded research project that integrates metagenomics, k-mer–based methods, and artificial intelligence
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, artificial intelligence, or statistical modelling techniques to digital forensics, online surveillance, or large-scale data analysis, particularly in the context of wildlife crime detection and prevention
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. This is a hands-on opportunity to shape the future of decision support tools that balance human control with scalable artificial intelligence (AI) solutions. You’ll work on cutting-edge projects—designing