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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of
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Semiconductors are key enablers of virtually every aspect of modern society from smart phones and computers to energy generation, communications, AI, defence, transport and healthcare. Without
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that is still poorly understood. This project will develop advanced computational models to simulate a new imaging technique called electron ptychography, which can map magnetic fields in 3D at nanometre
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
technological progress. Subject areas: Business, Computer Science, Economics, Environmental Sciences, Finance Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding
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should hold, or expect to complete by September 2026, a Master’s degree in Economics, Finance, Statistics or Computer Science, and have at least a 2.1 or equivalent in a relevant undergraduate degree. The
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at Cranfield University within a supportive, cross-disciplinary environment spanning energy systems engineering, computational modelling, bioinformatics and food safety science. The studentship is funded by
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to cover living costs; Join a multidisciplinary cohort to benefit from peer-to-peer learning and transferable skills development. Learn more about the programme, available projects, and the application
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and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective
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partners. They will develop advanced skills in experimental hydrodynamics, materials characterisation and computational simulation – highly sought after in the UK’s growing offshore energy sector