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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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productive team of ocean modellers and polar climate scientists at UEA and Cefas (the CASE partner). The project will provide you with a thorough training in polar oceanography, air-sea interaction and
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training environment alongside world-leading scientists in the fields of molecular microbiology and microbial biotechnology. They will be part of a friendly, collaborative research team and will gain
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University of Cambridge. Our collective environment of excellent research and impact is an ideal complement for the interdisciplinary training of diverse social scientists. CAM-DTP PhD students will join a hub
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to prostate cancer progression. This information will support the setting up of a clinical trial where anti-microbial agents are used to prevent prostate cancer development, resulting in significant
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access to state-of-the-art laboratories, expert supervision, and collaboration with a wider multidisciplinary team of scientists and industrial partners. The project is expected to generate critical data
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Meier and the wider Systems Science in Public Health team within the Public Health Unit, School of Health and Wellbeing. HealthMod is a large UK-wide research programme which connects scientists
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third sector data and advocacy (Mr Tatlow). The PhD scholarship would particularly suit EITHER social scientists or social policy researchers seeking to expand their skills and application of data science
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for Postdoctoral Researchers/Research Fellows in the following areas: Areas of interest: Privacy and Compliance, User Experience; Computational Data Science and Applications; High-performance, Energy-efficient
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Supervisors: Professor Greg Hannon and Dr Ben Nicholson For further information about the research group, including their most recent publications, please visit their websites: https