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portfolio. You will be required to have strong organisational and data analysis skills. You will be expected to plan and conduct work using approaches or methodologies and techniques appropriate to the type
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and other partners on design, implementation, data collection, analysis, dissemination, and other contractual requirements of the Fellowship. • To undertake visits and placements with industry and
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. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply predictive modeling and validation techniques. Research & Publication: Skilled at critically
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responsibility for the analysis of place- and personal name material, and of the historical landscape. You will have: A PhD (or equivalent) in a relevant subject area (Name-Studies, History, English) or
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, simulation modelling, and data analysis, ideally with experience in agricultural systems or complex biological/ecological modelling. The candidate will work closely with a multidisciplinary team of academics
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candidate will be a veterinary surgeon, with a PhD either completed, or close to completion, have expertise in Python programming, simulation modelling, and data analysis, ideally with experience in
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default forecasting system that incorporates latest machine learning, age-period-cohort (APC) analysis and stress testing capabilities based on economic and other external factors. The system should be
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politics, sociology, law, and area studies. About you: Candidates should have a PhD in a relevant field or close to completion. Strong qualitative research and analysis skills. Skills in philosophical and/or