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climate data and species distributions Collaborate closely with other researchers, including the other PhD students at CMT, and contribute to interdisciplinary discussions and dissemination of results
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with stakeholders and field measurements where necessary; Integrate empirical data analysis including ecological, sociological and economic parameters into a synthesis of the effectiveness of freshwater
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. The successful candidate will work on field-based experiments, data collection, and analysis, focusing on understanding the interaction between floral resources, pollinator activity, and apple yield outcomes
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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viability using multiple detection techniques (FACS, microscope, spectrophotometer). Collaboration on the analysis of created bacteria in Zebrafish models. Analyse data, contribute to scientific publications