38 postdoc-in-thermal-network-of-the-physical-building positions at University of Exeter
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this project have direct applicability to UK commercial forestry and Net Zero ambitions due to increasing tree planting programs coupled with increased extreme weather events. Please direct project specific
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expertise in perturbed parameter ensembles and machine-learning model integration. A CASE placement at the Met Office will further strengthen your applied training and professional network. CASE Partners
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research project, Understanding health and well-being among farm women: A life-course approach, which is jointly led by the CRPR and the Farming Community Network (FCN). Through a combination of quantitative
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of the assessment period, and for any re-sits post assessment. The positions will be based remotely. Successful candidates will be expected to design and develop the EPA materials as required, mark and make grading
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successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations
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, durability, and environmental sustainability, while addressing cost constraints and net zero objectives. It will include an in-depth review of shortcomings in current design, based on literature review and
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across academia and industry. Please ensure you read the Job Description and Person Specification for full details of this role. The successful applicant will be able to make presentations at conferences
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. The ML will use 500,000 fundus images from open-source and customised retinopathy datasets. We will compare retinopathy grading accuracy by NHS clinician vs ML algorithm. This will build on Exeter’s
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industries. Using existing plans, remote sensing and laser scanning field-surveys, they will build lab-based digital replicas of UK post-extractive underground and overground landscapes. Then they will import
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Doctoral Network, an EU-funded Marie Skłodowska-Curie’s Actions (MSCA) initiative. FutureForests Doctoral Network aims to train 15 next generation scientists in assessing the impacts of global change