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Applications are invited for a PhD studentship on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier
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to begin focused research early on. To complement their background, optional training in natural language processing, machine learning, and linguistics will be available. During the first year, the student
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Applications are invited for two Research Assistant / Research Associate posts on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more
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triboelectric nanogenerator (TENG) to sustainably power ingestible medical devices. The aim is to harness mechanical energy from natural intestinal peristalsis to enable battery-free operation of autonomous
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). This mechanism allows for the room-temperature control over polariton condensation Nature Photonics 13 378 (2019) , enabling nonlinear optical switching at extremely low optical signals - down to the single-photon
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communication skills and excellent written English skills Evidence of ability to compile and analyse quantitative and qualitative data, prepare reports and present results to summarise main research findings and
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(essential), Modelling and resource analysis (essential), Use of Python, Matlab or other appropriate programming languages (essential), Familiarity with building and construction (desirable). Collaboration and
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communication skills and excellent written English skills. Evidence of ability to compile and analyse quantitative and qualitative data, prepare reports and present results to summarise main research findings and
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ability, and a fluent spoken English is needed in this work. What we offer? This position is foreseen to run from Spring 2025 onward, but the start date is partially negotiable. The position will be filled
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impact on water quality and aquatic biodiversity. Fieldwork (1–2 days/week) will involve surveying aquatic plants and invertebrates, while lab work includes processing water and sediment samples using