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objectives Aim: To create a secure and transparent system for electric vehicle (EV) charging that protects user data, explains system decisions clearly, and builds trust between drivers and charging providers
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adaptive strategies while combined theoretical and empirical approaches enhance wellbeing and reduce carbon emissions. Project objectives Construct AI algorithms employing advanced thermodynamic and machine
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Research themes: Cyber Security, AI, Decentralized Systems, Applied Cryptography UK students This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and...
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or mitigate the defects. The additionality of external controls over the laser-matter interactions could increase the process build rate, and thus reduce carbon emissions, and uptake for this process across a
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could increase the process build rate, and thus reduce carbon emissions, and uptake for this process across a wide range of sectors, offering solutions not possible by conventional manufacturing methods
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The project: Delivering reliable and economically viable fusion power depends on the ability to design and build reactor systems that operate safely under extreme thermal and mechanical conditions
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outlining how you would approach the project, and an up-to-date CV. Under programme name, please select 'Architecture, Building and Civil Engineering'. Please quote reference RAINDROP-CH. Only applicants with
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tailored plasma catalyst process to improve the energy efficiency with controlled production of nitrogen products such as NO3 and NH4 . The project will build on the cutting-edge research by Dr Zaenab Abd
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. The aim is to develop novel methodologies for thermal infrared (TIR) earth observation to support urban decarbonisation and improve the energy performance of buildings. The successful candidate will play a
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities