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to develop solutions to one of the major environmental challenges for humankind, the renewal of biodiversity and involves 33 project partners. The programme includes academics and partners across environmental
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techniques such a random forest and artificial neural networks for data classification and regression (including uncertainty estimation). Working with project partners to co-design tools to quantitatively
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research team members to design and implement data-driven studies to analyse data on social media platforms such as Tiktok. Collect and analyse large datasets using statistical and computational techniques
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to recruit a Postdoctoral Research Associate to support the work of Professor Bass. The successful applicant will design and execute experiments to investigate the evolution of insect resistance to xenobiotics
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: Conducting research on the development and application of machine learning algorithms and computer vision techniques to medical images (X-Ray). Collaborate with interdisciplinary teams to design and implement
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. Applicants will be able to design appropriate primer based approachs to analyse environmental microbiomes and possess skills on how to analysis data generated. They will have an excellent aptitude
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). The role will require: working with University of Exeter and National Trust (NT) colleagues to deliver an impact-facing programme of collaborative research to enhance understanding of young people’s