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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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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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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
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will make one discovery-scientist post. You will have a track record working on normal breast tissue in vitro modelling and already have an established network of local collaborators, including clinical
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-network theory, assemblages, processual ontologies, regulation and governance). This project benefits from proximity to Prof Tomczak's international prison HEALTH research group, along with its location
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with a wider interdisciplinary research team Participate in wider networks, including the Adult Social Care Cluster and DEMCOMM programme events Main Duties The responsibilities may include some but not
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the aim of conducting new research and co-creating SME-friendly solutions. The role requires knowledge of UK manufacturing, as well as excellent business-facing and networking skills. The skills required