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sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in: Data-centric AI
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information on fire statistics and fire safety systems, policies, and procedures. Paper copies of the Reports can be obtained by contacting the University Compliance Office at [email protected]. Apply Now
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safety-critical domains such as maritime operations, their adoption depends on whether their behaviour and decisions can be understood, verified, constrained, and audited. This is particularly challenging
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access to advanced laboratory equipment and solid funding opportunities. You will be offered secure employment, high-quality supervision, and room to grow, both as a researcher and as a person. The
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Application deadline: All year round How to apply: uom.link/pgr-apply-2425 This 4-year project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply
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that repairs errors invisibly, in real time. As AI pushes data demand ever higher and quantum computers threaten today's encryption, future optical links will need to be faster and more secure than ever, and
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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required for this position, as project funding is already secured; publication record in SCOPUS-indexed psychology journals (at least 3 scientific publications expected within the evaluation period
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distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable solutions. Project description E2PACKMAN is a €93.7 million European
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, such as programming, documentation, and vulnerability detection, their adoption for other tasks such as software architecture design, or safety and hazard analysis, is still limited. The objective