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Applications are invited for a Postdoctoral Research Associate in Contextual Safeguarding with a particular emphasis on researching the implications of Contextual Safeguarding to education. This is part of the the Divide research project, led by Jenny Lloyd. Crossing the Divide will explore how...
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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for data analysis/scientific computing, and excellent decision-making, problem-solving, planning, and organisational skills. The post is full time and fixed term until 30 June 2028. The closing date
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desire to learn others: molecular biology, C. elegans or other model organism research, confocal imaging, computational analysis, preferably in python and electrophysiology. We are also looking for someone
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rhizobia can fix up to 200 kg N per ha, as crops and for forage are potential ways to improve both N efficiency and the sustainability of agriculture. In this project we are engineering nif clusters
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. This role offers a rare opportunity to contribute to cancer interception science at the frontier of personalised prevention, with strong translational potential. We are seeking a talented and motivated
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based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience
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and science exploitation of the MIGHTEE survey data. The postholder would have the opportunity to identify new discoveries in the data and would be ideally placed to lead the science based on the data
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and science exploitation of the MIGHTEE survey data. The postholder would have the opportunity to identify new discoveries in the data and would be ideally placed to lead the science based on the data