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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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, and blockchain-based infrastructures. Formulate novel research methodologies and contribute to the development of secure architectures and verification frameworks for next generation blockchain
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DeFi, cross-chain interoperability, and blockchain-based infrastructures. Formulate novel research methodologies and contribute to the development of secure architectures and verification frameworks
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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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parameters with software and equipment development; - Collaboration on the project's technical and scientific documentation. . WORKPLACE AND SCIENTIFIC SUPERVISION: The work will be developed at the Centre
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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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. • No mention of professional/academic practice – 0 values. c) Specific knowledge (SK): 1) Knowledge and experience in CAE rheological simulation software applied to the plastic injection molding process; 2
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the candidate’s study cycle will be considered. Experience in software development projects relevant to the grant’s objectives. Evaluation Formula and Weighting: The final classification (FS) will be expressed on a
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of specialized field, process or discipline. May require experience with specialized software programs. Additional Qualifications Considered Due to grant stipulations, you must be a US Citizen, Permanent Resident