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our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic
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structures may change with time, where the change can depend on latent factors or variables. These projects will focus on developing a comprehensive Bayesian learning framework for this broad class of problems
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would also be welcome. While the post is primarily focused on teaching and learning, the School actively supports scholarship and research activity. The successful candidate will be encouraged to develop
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of powder, blending recycled and virgin powder, as well as repurposing of machining scrap and waste wire as feedstock, building on existing proof of concept work. This largely experimental PhD will provide
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to inform experimental design and site selection, a series of studies will focus on learning about how fish use saltmarshes and seagrass in South Wales. Research findings will extend our understanding beyond
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at the forefront of groundbreaking discoveries, shaping global knowledge across diverse fields. At Cambridge, our mission is to contribute to society through world-class education, learning, and research. With a
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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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between starting your career or researching for a PhD, we’ll back you to study, teach and earn. This is an excellent opportunity for a highly motivated candidate to deliver outstanding research while
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, experiential learning and opportunities to attend relevant UEA teaching. In addition, you will be a member of the NIHR Academy and able to access the training and resources available to Academy members. You will
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start date Programming skills in Python, R or STATA Willingness to learn unfamiliar tools as needed (e.g. GitHub, APIs, new libraries). Familiarity with econometric techniques, especially panel data