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landscape. The successful applicant will work with Programme Director, Professor Gemma Moss and other members of the research team to: identify education networks and partnerships active in different parts
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significant expertise in a range of research methodologies and an established reputation and publication track record. You will have an existing network within the world of children’s social care or education
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-writing and proposal-writing skills. Confidence in networking and strong relationship-building skills. Ability to apply and/or develop and devise successful models, techniques and methods in research and
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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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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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: identifying which social interactions are most meaningful in tackling poverty, isolation and mental health. Social Capital: looking at the benefits derived from networks and relationships. This ambitious
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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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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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ongoing development of communication updates for web, social media and networking Promote equality and value diversity, acting as a role model and fostering an inclusive working culture Support the work