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Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research Fellow will undertake
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expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security and environmental sustainability while working in a
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of High throughput Calculations Fluency in relevant models, techniques or methods and ability to contribute to developing new ones High level analytical capability Ability to communicate complex information
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of specialism and normally, a higher degree relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency in
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degree in Psychology or closely-related discipline and a PhD (or near to completion) in Psychology that is relevant to the research area Experience of collecting data from children Experience with
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life cycle analysis methodologies. Proficiency with modelling and simulation software relevant to TEA and LCA. High analytical ability to analyse and illuminate data, interpret reports, and bring new
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Fixed Term Contract for 24 months We welcome applications from passionate and skilled post-PhD or experienced researchers in malacology, epidemiology, schistosomiasis modelling, or spatial data
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required. About You - PhD in relevant subject area; - Excellent communication, presentation and writing skills in English; - Proficiency in laboratory techniques and analytical methods relevant to catalysis
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UKESM1 or similar models, advanced data analysis and machine learning, would be advantageous. Grade E: You will be near completion of a relevant PhD or have equivalent research experience, and be able
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analytical techniques, with a focus on quantifying energy output and sensitivity to initiation by external stimuli. The project will be jointly supervised by Prof. Colin Pulham in the School of Chemistry at