23 information-security-"https:"-"https:"-"https:"-"https:"-"https:"-"DFG-TRR" positions at University of Exeter in United Kingdom
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The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air
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Project Description Chrono-urbanism is an urban planning approach that prioritises time as a core resource, aiming to reduce travel time by placing essential services, leisure, and work within a
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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, addressing engineering questions in how future electricity networks can remain stable and resilient as renewable generation grows. Grid-forming (GFM) control is increasingly recognised as a critical enabling
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is small but mighty. Working together with Leonardo UK towards immediate real-world applications in an operational environment, you’ll design and create intricate nanoscale geometries and combine
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regulatory obligations. Hydraulic simulators are physically detailed but computationally slow and calibration-intensive, limiting large-scale scenario exploration and optimisation. Purely data-driven
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This is a full-time (1.0 FTE) post, which is available from July 2026. This post is offered as a fixed term contract and is funded by the NIHR until 30 November 2029. In line with the University’s
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External Engagement and Global - Philanthropy The above full-time (1.0FTE) post is available from 1st May 2026 on a permanent basis within External Engagement and Global. This role offers
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communication is interrupted, such as during disaster recovery, in remote industrial sites, or for temporary large-scale events, fixed infrastructure is either unavailable or easily damaged, creating "blind spots
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network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms