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Field
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insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects
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Inverse Methods and Ionospheric Modelling Research Fellow - School of Engineering - 106995 - Grade 7
. Promote equality and value diversity acting as a role model and fostering an inclusive working culture. Person Specification First degree in physics, mathematics, or similar, with a higher degree (or near
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: Designing, adapting, and executing scientific studies, mathematical models, or laboratory experiments. Project Management & Grants: Overseeing specific research projects, managing budgets, and assisting
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the starting date, a PhD in a computational science field (e.g., Computer Science, Cognitive Science, Physics, Applied Mathematics, or related). Proven publication records in at least one of the areas above
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the University of Oxford Required Qualifications PhD in statistics, computer science, computational biology, genetics, applied mathematics, or a related quantitative field is required Proof of degree
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both infectious and chronic disease, measuring the impact of interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming
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approach of microbiology, biochemistry, molecular biology, multi-omics and mathematical modelling to understanding the role of metabolic pathways in the virulence and antimicrobial susceptibility
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of Economic Impacts of Ultra-Processed Foods who has: PhD in Economics, Mathematical Sciences, Computer Science, Environmental Science (with a quantitative focus) or related fields; strong experience in large
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. Desired Skill Sets A PhD in Engineering, Math, Physics, Computer Science or a related field. Strong programming and computational skills. Experience in AI development, mathematical modeling or data analysis
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talent aligned to these values and are looking for a Postdoctoral Research Fellow in Quantitative Analysis of Economic Impacts of Ultra-Processed Foods who has: PhD in Economics, Mathematical Sciences