457 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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Field
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methods that are data-efficient, reliable, and deployment-ready. Aims Advance operator-learning architectures for transient heat transfer in complex geometries, integrating physical priors (PDE structure
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the slow dynamics leading to high-quality modelling of currently inaccessible experimental quantities. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre
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contribute to pioneering computational tools that extend far beyond potassium. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in Modelling
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Project Supervisor - Dr Stefano Landini The rapid evolution of electric vehicles (EVs), data centers, and high-performance energy storage is driving the need for battery systems that manage heat
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behaviour and system efficiency. Uncertainty is inherent in the design of subsurface energy technologies, particularly during early-stage development when data may be sparse, incomplete, or inaccessible
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-Intrusive Load Monitoring (NILM) can bridge this gap by turning whole-home readings into appliance-level information, with studies showing meaningful efficiency gains for households. However, deploying NILM
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are missing from copyright library holdings? How can data on rejected books contest or revise existing histories of gender, sexuality, medicine, and publishing? Formal applications should include a CV, degree
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discipline — biomedical, clinical, psychological, social, or data sciences. Multidisciplinary and partnership-based approaches are encouraged. Prospective PhD students interested in this funding are encouraged
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usability and accuracy, as well as conducting field tests to validate their effectiveness. Additionally, the research will explore the economic viability of these sensors to enhance real-time data collection
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support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics