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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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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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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
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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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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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conduct original, foundational and applied research on the application of Quantum timing devices to networked radar systems and to evaluate their feasibility and performance limits through a combination of
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established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For further information on our commitment to Equality