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the guidance of Professor Emmanuil Georgoulis. Relevant skills are a PhD (or near completion of a PhD) in Numerical Analysis, or Scientific Computing, or related field. The position requires good programming
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structures and diagnostic targets. 3. Explainable AI Implementation Integrate XAI methods (e.g., Grad-CAM, Guided Backprop, SHAP) into the system. Generate and interpret visual explanations for model outputs
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, numerical implementation, and analysis of multi-scale heat transfer phenomena. Co-supervise PhD students and contribute to mentoring early-career researchers involved in related modelling activities. Attend
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physics conundrums. Key Duties & Responsibilities Use of CAD design software and waveguide FEM solver Working with and testing anti-resonant, capillary and solid-state fibers Building and troubleshooting
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PhD in relevant discipline (or close to successful completion) Knowledge, Skills & Experience Expertise in analytical science techniques including NMR spectroscopy, thermogravimetric analysis and
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suppliers where required. Support the wider research activities of the group. Education, Qualifications and Experience Essential Criteria PhD (or near completion) in Photonics, Physics, Electrical Engineering
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methods of knowledge representation and/or quantitative text analysis and Natural Language Processing and/or AI. Knowledge and practical understanding of basic concepts in information theory (e.g. Shannon
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background noise in free-space links to developing robust photonic devices for next-gen services. We welcome collaborations across academia and industry, and offer opportunities for MSc, PhD, and PDRA
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to accelerate the adoption of advanced RF front-end solutions across emerging communication and sensing technologies. With a vibrant team of 11 academic experts and over 20 postdoctoral researchers and PhD
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& Expertise The ideal candidate will have a strong technical background in one or more of the following areas: Essential Skills Strong knowledge of embedded systems, embedded electronics, and software