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data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing
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approaches for managing confidential spatial health data, including differential privacy & other secure geospatial data protocols. This research will advance our understanding of how major infectious diseases
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responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research
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because of climate change. Working alongside the PI and local academic partners, the postdoctoral fellow will then oversee data collection, which is expected to involve interviews, survey questionnaires
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delivering the research goals of the group Conduct a research program, defined in agreement with the group Contribute to writing bids for research funding (including facility access) Analyse and interpret data
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for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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2026 Background We are seeking a highly motivated researcher in statistics, geostatistics, data science, or a related field to join our research team in the Department of Applied Health Sciences
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projects based around inflammatory and immune mechanisms in the ocular microenvironment. To assist medical research by carrying out sample processing, laboratory analyses and data collection, thereby
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and interpret data related to the research project Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise