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Field
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at the local level, within households, communities, and local politics. The project combines large-scale surveys, survey experiments, administrative and archival data, GIS, and qualitative field research in
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of gastrointestinal (GI) smooth muscle contraction – 5% d) Determination of oxidative stress in biological samples – 5% e) Histomorphometric evaluation of GI tract samples – 5% f) Quantification of the levels and
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, the project will enable the evaluation and optimization of resilience strate-gies. The framework will be validated through pilot studies, ensuring its applicability to real-world industrial chal-lenges
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experience with spatial data analysis using GIS tools or spatial libraries and familiarity with common land-use datasets would be advantageous familiarity with environmental or agricultural economics research
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desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS and R is a merit. Proven excellence in written and spoken English is essential. The fieldwork will
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knowledge in plant species identification. The successful candidate should be able to independently conduct statistical analyses in R and hold a valid driver's license. Experience in GIS and handling large
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infectious diseases such as gastrointestinal (GI) infections, respiratory infections and sore throats. Using GI infections as a case study, the project will compare trends in OTC medication sales to other
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to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging through health, retail, mobility, energy and communications. Using GI infections as a case study
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ecology, and/or restoration ecology. Experience in design, execution and analysis of acoustic data is desired. Knowledge on statistical methods and their application is an extra merit. Good knowledge in GIS
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· Data handling, processing and modelling · Familiarity with GIS tools (e.g., ArcGIS, QGIS is a plus · Proficiency in Python scripting for data analysis and automation is a plus