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focus (degree of emphasis on prediction by numerical modelling versus machine learning); optional inclusion of (non-essential) field work within the project. Supervisors will provide training in river
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ecological indicators best capture the success of large wood restoration? The researcher will develop their research methods, and shape the research direction, with supervision from an experienced team and the
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to reduce reliance on expensive ground truth data while improving the performance of tightly coupled navigation systems. The project will benefit from an essential industrial collaboration with Spirent
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treatment processes, and risk management? The Doctoral Researcher will receive interdisciplinary training across microbiology (culture-based and molecular, e.g., next-generation sequencing, bioinformatics
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pleiotropy — Are alleles that increase disease susceptibility maintained because they confer fitness benefits in other contexts? You will work closely with a supervisory team whose complementary expertise
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and runaway calving (Edwards et al., 2021; DeConto et al., 2021). Crucially, if the higher-impact trajectory unfolds, a tipping point may already have been crossed by the 2070s, and past work shows such
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than on preserving individual species. This approach could create well-functioning ecosystems, resilient to threats such as climate change. But how do we measure and conserve ecological processes in
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, machine-learning tools, and Lagrangian transport modelling. You will be based at the British Antarctic Survey and work closely with experts at the University of Leeds and Exeter, who provide cutting-edge
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). Depending on the student’s appetite, further work can exploit observations (satellite and seaglider data), AI tools, or idealized simulations to probe deeper into mechanisms. Specific training on ocean
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(h.wu@soton.ac.uk), for a detailed discussion prior to application. About Dr Han Wu Dr Han Wu is a Lecturer (Assistant Professor) in the School of Electronics & Computer Science at the University