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the grade. Your skills and attributes for success: Expertise in qualitative interviewing and qualitative analysis Ability to communicate complex information clearly, in writing and verbally, for academic
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+, active galactic nuclei and analysis of interferometric data. Informal enquiries are welcome via email to Prof Sebastian Hoenig, s.hoenig@soton.ac.uk .
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in the application of rock physics models to seismic and/or resistivity data but will also consider applicants with experience more focused in relevant geophysical data analysis. The Research Fellow
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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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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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Unit (PenCTU), and identify and develop research ideas and develop these into funding proposals. Have a PhD in biostatistics or related subject with a numerate or computational component (including
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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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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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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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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