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performance degradations and unwarranted system failures can occur. There is certain physical information known a priori in such aerospace platform operations. The main research hypothesis to be tested in
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Strategic Planning for the Integration of AI Data Centres into Energy Networks Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate
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, require optical microscopes that can capture spatial and spectral information simultaneously, while remaining fast, data-efficient, and suitable for in-situ use. However, conventional hyperspectral
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Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | 12 days ago
2026. The project. Forty‑two percent of working‑age adults in England struggle to understand everyday health information, creating serious barriers to informed medical decision‑making and patient safety
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At the Leibniz Institute of Atmospheric Physics (IAP), a part-time position (75%) in the “Satellite Data Analysis” working group is available as PhD Student (f/m/d) The position is initially offered
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 16 days ago
how administrative data can be better used to inform the prevention of serious violence. It will examine how homicide and serious-violence data are generated, coded, linked, and analysed. It will draw
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This exciting fully funded PhD, will address the challenge of forever chemicals in drinking water. The aim of this research is to develop a smart data predictive model that will support utilities
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic bioinformatics techniques to respiratory samples and developing analysis and interpretation approaches
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3.5-year D.Phil. studentship Supervisors: Prof Noa Zilberman The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In