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have recently identified a set of five anaerobic bacteria, known as the Anaerobic Bacteria Biomarker Set (ABBS), that, when present, are associated with the development of aggressive prostate cancer [1
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models, making the use of data-driven approaches a promising direction. This PhD project will investigate the use of data-driven and machine learning approaches, both measurement based but also model based
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treatment processes through advanced machine learning, validated against physics-based models and experimental data. System Integration: Integrating the DTs into material and energy balance equations
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-disciplinary PhD project aims to provide a clear picture of the landscape of battery manufacturing, waste and end-of-life processing. The project aims are to: Identify waste streams and energy requirements
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exposure, and steep voltage gradients (high dV/dt) from inverter-fed systems, pose significant challenges to insulation reliability. This EPSRC iCASE PhD project sponsored by Siemens Gamesa Renewable Energy
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highly attractive to both the tech industry and government agencies. They will gain extensive practical skills in full-stack AI development, from data curation and model training to system deployment and
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integrating Machine Learning (ML) with physics-based degradation modelling will enhance early fault detection, reducing unplanned downtime. This PhD is hosted at Cranfield University, a global leader in
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molecular genetic engineering. Scientific Background In all species that lay eggs externally - in nests, ponds, mudpiles, food or other substrates - eggs and young may face unpredictable exposure to harmful
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position (2 + 2 model) under the supervision of Sebastian Szyller. Trustworthy & Adversarial Computing Lab is a newly established group. The lab has an extensive network consisting of companies and academic
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- or tissue-microenvironment. Our existing collaborations with AstraZeneca have yielded very interesting data specific metabolites that are involved in the migration and positioning of regulatory (Tregs) and