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recruitment process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project overview Are you interested in a PhD working on biodiversity and ecosystem service impacts
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intelligence (AI) and machine learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics
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asset records, satellite imagery) with field investigations to identify vulnerable regions and understand surface deterioration processes. You’ll gain experience in spatial analysis, fieldwork, soil and
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developing mathematical modelling and observational data analysis using high spatial, temporal and spectral resolution state-of-the-art solar telescopes (e.g. SST and/or the 4m aperture DKIST). There is also
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bright points to solar jets, called spicules. The study will involve mathematical modelling complemented with observational data analysis using high spatial, temporal and spectral resolution solar
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Building engineer or Environmental Science, Planning, Engineering, computer science, innovation science or related fields with demonstrable experience in spatial analysis and numerical modelling
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to reduce soil erosion. develop a pan-European dynamic soil erosion monitoring system to assess soil erosion status and trends across spatial and temporal scales and promote best management practices
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. / Proficiency with visualization, mapping, and spatial analysis tools (such as GIS) to support urban planning and decision-making processes - Habilidades analíticas y de comunicación, incluyendo redacción de
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analytical skills and a solid foundation in data synthesis, remote sensing, spatial analysis and Bayesian statistics o Strong proficiencies in R and/or Python o Experience with version control in GitHub
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analyst to support a research program focused on constructing a retrospective analysis of our a Wildfire Resilience Index (WRI) for the US and Canadian West (https://www.wildfireindex.org/ ). Built