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Field
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capture, evaluate the potential apportionment of soil/sediment chemistry to sources and locations from established field experimental plots and catchments-valleys identified from baseline data using isotope
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will be provided in epidemiology, data science, behavioural science, and health psychology. Candidate Profile Ideally holds a first-class or upper second-class degree in health sciences and a
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of electronic states, available from October 2026, to work under the supervision of Professor Adam Kirrander in the Department of Chemistry at the University of Oxford. The studentship will cover course fees at a
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Engineering, Faculty of Engineering and Applied Sciences, Cranfield University, in the area of performance simulation, analysis, and optimization of supercritical CO2 power generation systems. Cranfield has
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strategic priorities in Digital Twins, Environmental Intelligence, and Data-Driven Engineering, using advanced computational modelling to support ecosystem resilience and sustainable management. The project’s
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
generation of wireless communication (6G) to extend network coverage, supporting diverse data-intensive applications such as immersive extended reality and autonomous systems. However, aerial 6G networks will
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Funding amount Standard UKRI stipend, RTSG, Fees Covered. The project: Tracking and controlling the spread of emerging pathogens using sequentially collected data is a critical challenge in public
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Mechancial and Systems engineering (full time) - MECH8090 (FT)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: a ‘Personal Statement’ (this
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). Atmospheric rivers are poorly forecast on the subseasonal scale, and regions identified as having particularly poor skill include the Indian monsoon region, Madagascar, and Indonesia (DeFlorio et al., 2019
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Research Studentship in Neural Engineering 3.5-year D.Phil. studentship Project: Sleep classification for implanted neurostimulation systems Supervisors: Dr. Joram van Rheede, Prof. Timothy Denison