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this direction. The project aims to develop a comprehensive approach to software verification grounded in neural certificate technologies. Role Summary The Research Fellow will play a crucial role within the
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Role type: Full-time (1FTE), Fixed-term for 4 years Faculty: The Faculty of Education Salary: Level B - $122,212 to $145,121 p.a. plus 17% super Advance pioneering research in Childhood Studies and Early Years, contributing to high-impact scholarship, publications, and engagement that address...
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The Oxford-Hyundai Motor Group Foresight Centre is a major research centre located within the University of Oxford’s Saïd Business School. Funded through a generous research sponsorship from Hyundai Motor Group, the Centre is led by Oxford strategy faculty Rafael Ramirez (Director) and Trudi...
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-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians
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-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians
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implement them in robust, open-source software packages following best practices. EMBL-EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing
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neurodevelopment and neuronal stress responses. The postdoc will be responsible for culturing and differentiating iPSC lines, and carrying out various manipulations using genome editing, viral transduction
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from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator). The Project
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People from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator
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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