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of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly
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the PhD no earlier than July 31, 2021. For candidates who will have completed the PhD within twelve months of the August 1, 2026 start date, verification of completion of the degree will be required prior
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, original forms of identification for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-central/form-i-9
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deepfake technology. As part of this team, we are seeking either a Research Fellow to lead; or a Senior Research Associate to contribute to leading: the development of a forensically assured verification
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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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, 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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forms of identification for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-central/form-i-9
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forms of identification for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-central/form-i-9
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into this position, you will be required to provide satisfactory proof of employment eligibility by providing acceptable, original forms of identification for employment verification via the Federal I-9 employment