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The PhD is funded by a NWSSDTP CASE studentship and is open to Home (UK) students only. This interdisciplinary project investigates the health and environmental impacts of outdoor advertising, with
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, presentation, and writing skills. Must be a team player. Knowledge of hardware security is an added advantage. Knowledge of computing-in-memory is an added advantage. Knowledge of emerging non-volatile memory
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between AI and democratic security and to explore the challenges that AI poses to democracy as a form of governance and to the security of electoral and other democratic processes. This will include
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Status: Closed Applications open: 14/04/2025 Applications close: 15/05/2025 View printable version [.pdf] About this scholarship Description/Applicant information The Australian brewing industry produces over 300,000 tonnes of spent grain from beer production annually. Each 100 L of beer...
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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Do you want to conduct research focused on occupational traffic safety? If you are curious how everyday driving at work can be made safer, this PhD position at Chalmers University of Technology
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1st July 2025 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Safety Checklist for Maritime Industry Apply for this job
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the interdisciplinary Effective Governance for cybersecurity and Online Safety (EGOS) project, which is funded by the Dutch Research Council (NWO). EGOS is a multidisciplinary research initiative focused on advancing
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate, Secure Computation Technologies and Applications to Machine Learning