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Field
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Oral targeted drug delivery in the gastrointestinal (GI) tract is highly sought for treating localized conditions like inflammatory bowel disease (IBD). Traditional approaches rely on passive
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processes causing consecutive landslides will be undertaken. Training The individual joins a team of international experts who will support through training in remote sensing and GIS, field geomorphic
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Gastrointestinal (GI) motility disorders such as IBS and postoperative ileus affect millions worldwide yet lack high-resolution diagnostics. Current tests are either indirect or use rigid manometry
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and Stata. Working with large datasets, including merging files into the data archive. Creating clear data visualizations to communicate results (including GIS maps). Assisting with the preparation
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(quantitative, qualitative, modelling, GIS, etc.). Produce and share research outputs such as: articles and preprints, demonstrators or prototypes, documented datasets and, where possible, open data, a scientific
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escrita en español e inglés - Experience in analysing traffic accident data and road safety - Advanced knowledge of spatial analysis and Geographic Information Systems (GIS). - Proficiency in statistical
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/PhD) or related field. - Simulation & data: TRNSYS (or similar), time-series processing; Python (pandas/numpy). - Experience with GIS and/or climate/solar datasets (e.g., METEONORM, PVGIS
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objectives (e.g. geography, biology, epidemiology and public health). The person recruited will have competence in statistical analysis and GIS, experience or at least interest in carrying out field work and
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analysis: Applying geospatial methods (GIS mapping, geographically weighted regression, spatial clustering) and temporal approaches (time-series analysis, distributed lag models, case-crossover designs
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for NCDs. This will involve: Spatial analysis: Mapping and modelling environmental exposures at fine spatial resolution using GIS tools, geographically weighted regression, and spatial clustering techniques