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Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. The researcher will work with Dr. Martin Widmann, Dr. Ruth Geen and Prof. Gregor
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supervision. Have experience in statistical modelling of biomedical data and Bayesian methods (desirable). For further information please refer to the attached PD. What we offer you! We offer the opportunity
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researcher with a PhD in Soil Science or Agricultural Science, possessing strong field research skills, data analysis expertise, and the ability to work collaboratively in an international, multidisciplinary
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quantitative data analysis of large secondary datasets and be based at the University of Bristol. There are opportunities to work on several other ongoing and upcoming research projects to help develop your
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/2025 Role Description An exciting opportunity for an established researcher or a recently completed PhD researcher with experience in malacology, epidemiology, data mapping and/or schistosomiasis
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, and a team of international collaborators. The roles will involve designing experiments, contributing to data collection, analysing existing cross-national datasets, writing manuscripts for publication
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goals of the project, in collaboration with Dr Andrew Plackett. Collect research data through laboratory-based scientific experimentation and (where necessary) literature reviews. Analyse and interpret
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and interpret data structural biology, biochemical and biophysical data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research
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if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings
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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to