74 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Newcastle University in United Kingdom
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to enhance both accuracy and computational efficiency, enabling near real time water quality forecasting. This development will provide a more reliable, science-based foundation for environmental decision
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PhD studentship in Computer Science - Dynamic Validation of AI Systems in Digital Twins: A Real-Time Safety Framework for Critical Infrastructure Resilience Award Summary 100% fees covered, and a
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Deadline 25 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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, artificial intelligence (AI), and cloud computing expand. This growth presents both challenges and opportunities for achieving net‐zero carbon targets. While AI data centres are often perceived as passive
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Scottish Power as part of your program. The project Power Electronic Devices (PEDs) have been proposed as a new approach to increase the uptake of low-carbon technologies (such as electric vehicles and heat
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the opportunity to undertake a placement within Scottish Power as part of your program. The project Power Electronic Devices (PEDs) have been proposed as a new approach to increase the uptake of low-carbon
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview This PhD will develop a Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational
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to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as your Personal statement, and upload this with your application. Applications which do not include
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, migration, and accumulation of precipitated particles in CO2–water–rock systems using computational fluid dynamics (CFD) coupled with discrete element method (DEM). The research outcomes will provide critical