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or experience with participatory methods, stakeholder engagement, or co-design approaches Awareness of sustainability challenges, net zero transitions, or urban development policy Evidence of academic writing
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PhD Studentship: Enhancing Material Properties and Longevity in Maxillofacial Reconstructive Devices
of working with polymers and materials characterisation. Knowledge or experience o f medical/dental devices or prosthetics and computer-aided design. How to apply Dr Keith Winwood (K.Winwood@mmu.ac.uk ) will
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techniques for building lower-order predictive models. The student will gain hands-on experience in industrial applications, including practical aspects of aeroengine oil system design, spending part of
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contact isabel.smallegange@ncl.ac.uk Key Accountabilities Design and conduct laboratory and/or field experiments to quantify developmental responses to environmental change in bulb mites Rhizoglyphus robini
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, sponsored by Rolls-Royce, aims to develop a methodology for designing distributed control architectures that are "secure by design." You will move beyond traditional "patch-and-fix" security, instead using
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: · Working knowledge of MATLAB/Python and signal processing · Basic understanding of electromagnetics · Experience with CAD and mechanical design How to apply: Interested candidates should contact Dr Hungyen
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and spoken English. Desirable: Experience with photonic/electromagnetics design software. Familiarity with deep learning platforms (e.g. TensorFlow, PyTorch). Funding and eligibility The project is
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the future of programming education at AAU. By working within live teaching environments, the candidate will gain firsthand experience with pedagogically driven AI innovation, local LLM infrastructure
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research team working at the intersection of advanced battery interface design, AI-driven modelling, and multiscale simulation. The project focuses on understanding and engineering solid–solid and solid
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07.04.2026, Academic staff PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project focuses on developing PINN-based simulations