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will be removed once the position has been filled. A highly attractive PhD studentship is available for application by end of November 2025 or as soon as the position is filled up, offering full fees
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modelling, experimental evaluation and data analysis. Excellent organisational, interpersonal and communication skills, along with a stated interest in interdisciplinary research and creativity, are essential
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: 1 Start date: 2026, the exact date will be discussed during the interview Award duration: The funding covers a four-year PhD. Application closing date: 1st May 2026 or earlier if position is filled
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) in quantitative biology, statistics, or a related discipline, and have experience using statistical modelling and data analysis to address predictive or inferential questions in ecological
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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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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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assessment in architecture and construction? Do you want to work for turning down the emissions and overuse of materials in the built environment? We are now looking for a doctoral candidate for a PhD position
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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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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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- 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