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Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
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this testbed available to users for testing hardware and applications. NPL will lead on the testing and security evaluation of the testbed and collaborate widely on the technology development. The student’s
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of architecture standards and inform training and development of the systems modellers of the future. Candidates: To apply for this opportunity, you must be eligible for UK Security Clearance. Normally this is to
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06.10.2023, Wissenschaftliches Personal The PhD position is on safety verification of Cyber-Physical Systems at the intersection between control theory and machine learning. The position is full
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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A stipend from the Flight Safety Foundation of AUD33,000 per year for 3.5 years to cover living expenses and programme fees covered by RMIT. A stipend from the Flight Safety Foundation of AUD33,000
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on either ad hoc local analysis or on four-stage transport demand models which are not specifically designed to forecast public transport use. This contrasts with the situation in the railway industry, where
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to smart navigation systems. However, realizing neuromorphic computing in practice presents significant challenges, particularly in the areas of energy efficiency, reliability, and security. The REACT MSCA
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to smart navigation systems. However, realizing neuromorphic computing in practice presents significant challenges, particularly in the areas of energy efficiency, reliability, and security. The REACT MSCA
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to smart navigation systems. However, realizing neuromorphic computing in practice presents significant challenges, particularly in the areas of energy efficiency, reliability, and security. The REACT MSCA