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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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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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fluid dynamics (CFD), to create a dynamic, perfused system that mimics the human synovial environment. The platform will allow us to test how gut-derived immune signals influence joint inflammation
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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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platforms. Robotics are becoming more versatile, capable of operating in difficult environments with increasing autonomy. This creates significant opportunities to deploy robotics in support of N-bS, helping
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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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Application Closing Date 2nd February 2026 Sponsor School of Natural and Environmental Sciences, Newcastle University. Supervisors Dr Chancey MacDonald – SNES, Newcastle University Other internationally
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Environmental Sciences, Newcastle University. Supervisors Dr Chancey MacDonald – SNES, Newcastle University Other internationally recognised internal and external supervision, catered to candidate skills and