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for the development of Performing literature review and background study on multi-modal AI safety Apply knowledge on large multi-modal models to optimize training and inference processes Conduct experiments to compare
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environmental mass spectrometry and/or environmental microbiology, to join the QAEHS Environmental Toxicology Theme led by Professor Kevin Thomas. This team, working alongside industry partners, works to develop
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recipients and adults aged over 65 · lead and contribute to the development of study protocols, ethics applications, data collection methodologies, and statistical analysis plans for clinical
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funded grant applications to ensure robust trial commencement. This will include working with the Chief Investigator and co-applicants to develop a protocol and related trial documentation, ensuring
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the UK) and work within the Department of Cancer and Genomic Sciences. Their main role will be to apply and develop new methods for precise genome manipulation to create transgenic reporter models
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cutting-edge data from new ground and space-based facilities to address fundamental questions in galaxy evolution? Then this might be the right opportunity for you. The Astronomy Group within the School
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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charging. About Us Join a high-performing research team at Macquarie University to help develop next-generation wireless charging technology for electric vehicles. This industry-led project brings together
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scientists and software engineers. The team focuses on the following LISA deliverables agreed upon with the Norwegian Space Agency and ESA: Deliverable 1: Deployment and development of Norway’s computational
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of wireless electric vehicle charging. About Us Join a high-performing research team at Macquarie University to help develop next-generation wireless charging technology for electric vehicles. This industry-led