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challenges in ensuring the resilience of AI in critical infrastructure. The main challenges are: a) Dynamic environments: Real-world conditions are unpredictable. Environmental factors and cyberattacks can
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. Under these conditions, autonomic computing becomes essential. Devices must be capable of self-configuration, continuous optimisation, fault recovery, and adaptation to changing environments without
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and architectures that support efficient, secure, and scalable machine learning operations (MLOps) across resource-constrained environments for Edge AI. Ethical, and responsible FL for healthcare: In
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team as a curious, self-driven, and collaborative colleague. In return, we offer a supportive, inclusive research environment; opportunities to co-create your project; hands-on fieldwork and wildfire
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project partners. Expected outputs include thesis, publications and certification-related artefacts. Supervision Environment You will be based in Newcastle University’s Computing AMBER group (Advanced Model
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to working prototype to deployable product. What you'll gain: Hands-on privacy engineering experience in an industrial R&D environment Access to Keepl's platform, case studies, and engineering mentorship
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, publications and certification-related artefacts. Supervision Environment You will be based in Newcastle University’s Computing AMBER-group, focusing on safety-critical software, medical systems, simulation, and
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PhD Studentship in Marine Ecology - Ecosystem Dynamics of Mesophotic Coral Reefs Award Summary 100% UK home fees are covered and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Research costs covered. Overview The role complements a broader NERC funded project...
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Award Summary 100% UK home fees are covered and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Research costs covered. Overview The role complements a broader NERC funded project investigating Coral Reef Dynamics across Longitude, Latitude, and Depth. The goal is to...
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environment, and may link to a broader programme on high-fidelity modelling for net-zero technologies. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Sponsor EPSRC Supervisors Francesco