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to develop and deliver the UK's first nationally scalable, regulation-aligned training framework for alternative marine fuels and hybrid-electric propulsion. It brings together industry-leading vessel
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will be involved in processing and analysing tissue collected from patients undergoing surgery, using whole genome sequencing, transcriptomics and proteomics. You will be heavily involved in designing
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focuses on improving our understanding of multiple sclerosis disease progression and how treatment can impact progression. This work will focus on the unique Novartis Oxford MS (NO.MS) dataset, the largest
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and materials including support in proposal writing. This project is funded by the Department of Chemistry, Oxford University, aligned with its Strategic Research Funding in Sustainable
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predictive analysis for Novartis Oxford collaboration for AI in medicine. The collaboration focuses on improving our understanding of multiple sclerosis disease progression and how treatment can impact
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activities. This involves small scale project management including interacting with collaborators, to co-ordinate multiple aspects of work to meet deadlines. The post will be based in the Department
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international journals. Research expertise in one or more areas such as higher-spin gravity, conformal field theory, or closely related topics, aligning well with the focus of the Mathematical Physics Group
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the way they orchestrate multiple voices and create coherence in texts – all of which are pivotal for literacy learning. Besides much-needed empirical insights, we expect to enrich the theoretical concepts
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and a cover letter outlining how your experience and expertise align with the role. Join us at UEL and contribute to groundbreaking research shaping our understanding of early development and digital
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the direction of Professor Pinar Ozcan, gives the successful candidate the opportunity to join at the start of the project. It will examine how organisations can align profitability with consumer well-being. Many