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quantitative data analysis: applied machine learning, statistical analysis, and handling complex data. Programming skills in Python and R are essential Experience in applying computational methods to research
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the partnership, the Associate will develop the ability to: (i) model and predict fluid flow and system performance for large-scale systems; (ii) assess how different types of fouling may affect the membranes and
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the potential to impact on protected groups and take appropriate action. Desirable Skills: Experience with machine learning or natural language processing. Knowledge of econometric methods for policy evaluation
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Present research outputs, including drafting academic publications or parts thereof for project meetings, conferences and seminars Disseminate research findings for publication in learned journals and
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learning provision, with our Collaborative Teaching Laboratory, which opened September 2018, already revolutionising how we teach undergraduate practical chemistry. We are a collegiate School community. You
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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with Learning Disabilities (ICALD). The post holder will use their advanced knowledge of practice leadership to co-produce and implement training around supporting good communication with key groups
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental