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connections with the large community of statisticians across King's health faculties. This collaborative network provides excellent opportunities for professional development and knowledge sharing. This role
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these changes to make predictions from large scale remotely sensed data (such as satellites). This approach also allows the natural landscape variation to be used as a proxy for climate-driven tundra change
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structures of these complexes, using the latest approaches at all stages, including making grids, data analysis and model building. Applicants must have a PhD (or equivalent experience) with a strong
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scales is poor, and the UK’s national emission inventory carries large uncertainties. This gap hinders effective assessment of the true health and environmental impacts of woodburning. This studentship
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, development of ecological theory, analysis of large datasets, and programming of computer simulations. Transferrable skills from this project will open opportunities to develop collaborations with organisations
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manipulation and analytical skills using Python and basic ML libraries Experience of developing business UG and PG modules in areas of data analysis, Big Data, AI applications and machine learning. Industry
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research as a doctoral student you will be passionate about using large-scale data to address important questions in cancer research, have strong experience of quantitative analyses, and be a positive
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one or more of the following: Mass spectrometry maintenance; experience with Agilent MS software; data analysis of large datasets; relevant laboratory management; sample preparation of cellular material
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professional services team. The successful candidate will provide key operational support in the organisation and delivery of the Department’s large and diverse portfolio of events, as well as playing a central
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Executive Dean to lead this large and complex College into the next phase of its development. You will provide values-led strategic leadership across education, research, innovation and knowledge exchange