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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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straightens the fingers but does not treat the underlying biology; recurrence is common and repeat operations carry escalating risks to hand function. With genetic risk variants now linked to the disorder
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of Berberis in major wheat growing areas, (ii) assess the genetic diversity of locally adapted Bhutanese wheat landraces and their typically higher resilience to rust infection, and (iii) develop a spatial
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We seek an enthusiastic and inquisitive individual with a background in a subject aligned with the Biological Sciences, Molecular Biology, Microbiology, or Genetics. Entry Requirements At least UK
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colibactin-producing bacteria thought to induce colorectal cancer. In contrast, the aetiology of prostate cancer is largely unknown, with the exception that genetics and race are established components
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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NERC. Person Specification We seek an enthusiastic individual with a degree in geoscience, physical sciences, or computer science. Numerical literacy and experience with coding tools (Matlab or Python
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. Communication of scientific findings through publications and conferences. Person Specification A highly motivated candidate with: A degree or equivalent in numerate, computational, or environmental subject areas
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Primary Supervisor - Dr Marius Somveille Background Seabirds are highly mobile organisms connecting distant regions across the world’s oceans and seas. While being important contributors to marine ecosystems, seabirds are also particularly threatened by human activity. To design effective...