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cutting-edge approaches to assessment which will benefit learners and teachers worldwide. The successful applicant will focus their research on the development of technology for language teaching, learning
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identification of deterioration processes and assessment of their evolution/extent. Please reach out to the primary supervisor, Prof. Craig Hancock , if you have any questions. Entry requirements: We are looking
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to continuously learn, adapt, and refine world models in self-adaptive and autonomous systems. Specifically, the research will investigate how AI-based methods can support the evolution and updating of transition
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sensors and embedded systems development. • Experience with 3D modelling /CAD. • Publications, competition results, or an active GitHub/portfolio. Research Environment The University of Birmingham is one
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, the candidate will explore the evolution of the gut microbiome and changes in the epithelium in patients with Inflammatory Bowels Disease (IBD). To enable this, the candidate will develop new methods for high
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self-harm. Your work will expand the frontier of machine learning applications in epidemiology and improve our understanding of suicide and self-harm. It will also directly inform the development of a
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are listed here: https://www.open.ac.uk/science/physical-science/phd-students/current-phd-studentships These studentships are funded for 3 years and 3 months, with the possibility of an additional 3-month
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for the academic year 2025/26) University fees and bench fees: The studentship covers bench fees, stipend, and tuition fees. Visa and associated costs are not funded. International applicants can visit https
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improved. The project will also liaise with users (e.g., (re-)insurance sector, UK Government Foreign and Commonwealth Development Office (FCDO), Met Office operational warning and guidance team) to gather
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generate embodied emissions. Post-retrofit emissions depend on energy system transitions (e.g., grid decarbonisation, and socio-economic factors including population growth and housing evolution (Mastrucci