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or Social Prescribing) can serve to reduce loneliness. The research will involve primary data collection, (e.g. online surveys and experiments), secondary analysis of nationally representative datasets (e.g
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To contribute to the development and integration of AI models in real-world systems with a geospatial component Essential Criteria PhD in a relevant environmental/ecological science or Computer Science or a
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taxa and their functional traits from images generated via FlowCam Macro (size-based data already exist). The successful applicant also will assume responsibility for data analysis, interpretation and
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connectivity. You will also be in an excellent position to use your expertise in geospatial data analysis, statistical modelling, and/or ecological modelling to produce high-impact, open-access peer-reviewed
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the analysis of policy and policy processes relevant to water Supporting or leading the innovation/policy challenge ‘labs’ and capacity building programme Regular communication with research partners
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housing development. Perform parametric building performance modelling. Conduct non-intrusive load detection data analysis and reporting. Conduct financial modelling (carbon analysis, cost-benefit
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, management, and qualitative analysis of data sources related to forced labour risk and decent work assessment of the food system. The purpose of this role will be to support the principal investigator
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programming languages such as C#, Python, and C++. Experience with data analysis techniques and AI methods. For informal queries please contact: Dr. Patricia Cornelio - patricia.cornelio@bristol.ac.uk To find
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design, statistical analysis, and results reporting. The role will also involve planning and managing project activities, building research skills and networks, and engaging with academic and industrial
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systematic reviews and become familiar with statistical analysis. They will also contribute to undergraduate and postgraduate teaching. This is a full-time post (40 hours per week), and you will be offered