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centres. At Cambridge, our mission is to contribute to society through world-class education, learning, and research. With a deep respect for tradition and a bold vision for the future, we continue to shape
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an array of relevant teaching topics Enthusiasm to participating in both curricular and extracurricular activities Subject areas of particular interest may include: Machine and Deep Learning Data
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social research in sociology such as causal inference or machine learning or complex panel data analysis. We are seeking excellent applicants with an international research portfolio and network
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. Interests could include geological field-based methods and big data applications and machine learning methods. Research focus will be on feedback processes between erosion, sedimentation, tectonics and
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postgraduate programmes to military and civil service students, responding to the ever-evolving needs of military education. Our teaching equips professionals with the knowledge, creativity and intellectual
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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-driven solutions that enhance dam safety and energy efficiency amid climate change and ageing infrastructure. The PDRA will work with Dr Simon Moulds on machine learning approaches for reservoir inflow
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required for explanation. This PhD project will focus on the neurosymbolic intersection by treating LLMs as conjecture machines that generate candidate explanations for complex problems, and by developing
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, Bayesian Statistics with a focus on nonparametric methods, Bayesian Computational Methods, Extreme Value Theory, Biostatistics, Probabilistic machine learning, Medical sciences and engineering applications
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projects, and grants and acting as a source of information and advice on best-practice methodologies in machine learning/deep learning. It is essential that you hold a PhD/DPhil (or close to completion) in a