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Field
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analysing the outputs of hydrodynamical simulations of clusters of galaxies to trace the build-up of mass through the cosmic network as clusters grow by mergers or smooth accretion of matter along filaments
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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network of academic and industry experts shaping the future of smart shipping and maritime decarbonisation. As a university, we are committed to creating an inclusive environment that fosters respect
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and beyond, and participating in research networks such as the Collections-Connections-Communities initiative. We particularly encourage applicants who will seek to bring new perspectives
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research associates and PhD students. You will also engage directly with numerous external stakeholders (industry and academia), which will form part of your research network and give you opportunities
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health data. Understanding and/or experience of machine and deep learning (e.g. XGBoost, convolutional neural networks etc.). Flexible, enthusiastic and confident in relating to colleagues of varying
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, you will collaborate with Inha University and have access to a broad network of academic partners, including Imperial College London, University of Oxford, University of Bristol, and University
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and beyond, and participating in research networks such as the Collections-Connections-Communities initiative. We particularly encourage applicants who will seek to bring new perspectives
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resulting from the PhD, develop research networks, facilitate knowledge transfer, and deliver outreach activities. Applicants should identify an appropriate academic member of staff, referred to as a ‘Project
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and the Cancer in Primary Care Research Group within the Usher Institute the candidate will engage with a national and international network of cancer researchers – and nurtured to fulfil their academic