5 phd-position-in-database-modeling Fellowship positions at QUEENS UNIVERSITY BELFAST
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to the advancement of AI applications in biological sciences. This role presents a unique opportunity to work with pangenomic datasets while exploring the application of Large Language Models (LLMs) and machine
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Assurance and verification offerings for AI are fragmented and target specific areas of AI lifecycle (e.g. model assurance or prompt injections) without offering a unified view of the security
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evaluate field characterisation and monitoring data to develop geothermal resource models for individual project demonstration sites. About the person: Successful candidates need to: Have a PhD in Geology
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, candidate must demonstrate that they meet the following essential criteria: Hold, or about to obtain, a PhD in Power Electronics, Electronic/Electrical Engineering or closely related discipline. Recent
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, collaborations, and outreach. About the person: Candidates should demonstrate the following: Have a PhD in Materials Characterisation. Established expertise and proven portfolio in materials characterisation