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genomic data from parasitic plants. The Davis Lab of Plant Biodiversity explores questions in plant evolution and ecology using a variety of cutting-edge methods. Current and past research has shed light on
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employment, and any information provided will be treated confidentially and considered only for relevance to the role and the University’s safety obligations.
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. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information
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criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any
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for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education
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information, hydrologic data and survey records. Skills and Experience To be considered for this position, you will have: completed a PhD or equivalent qualifications or research experience a record of
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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for further information. Conditions of Service A highly competitive remuneration package will be offered. The closing date for application is 12 January 2026. Apply Now Posting date: 30 December 2025
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to data integration and workshops. 4- Disseminate findings through publications in leading international journals and presentations at major conferences. 5- Play an active role in departmental and school
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supportive working environment • We are committed to staff development through the provision of training, continued support, and career progression opportunities Further information is available in the role