676 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" PhD positions in United Kingdom
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the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
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integrates design, technology and management expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base of manufacturing research
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Ryzen CPU, GPU, and NPU, in terms of inference speed, energy consumption, accuracy, and performance per watt. Different quantization levels (e.g., int8, fp16) will also be explored. Develop intelligent
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programme. Nationality restrictions Other eligibility criteria The proposed research project must be within the remit of EPSRC's research themes. Please see EPSRC website for information. Application
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. Eligibility You must be applying to study the PhD in Law (full-time and campus-based) and not already registered on a PhD programme at the University of York. Applicants who already hold a PhD are not eligible
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will develop new mathematical tools to analyse brain imaging data using persistent homology, a method from topological data analysis (TDA) that captures the shape and connectivity of complex data across
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EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description The project aim is to develop novel FETs and biosensors based on Graphene and 2D Materials
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. The anodic oxygen evolution reaction (OER) remains an outstanding barrier to efficient H2 production, and even with the best electrocatalysts still needs significant energy input to overcome its intrinsically
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researcher to join a multidisciplinary project developing environmentally friendly, enzyme‑based technologies for tackling oil spills. This fully funded studentship offers the opportunity to make a real-world
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access to amenities, active travel opportunities, and health-promoting environments. This project will empirically test both assumptions to develop a more nuanced, evidence-based framework linking chrono