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the Centres for Doctoral Training (CDTs) in Net Zero Technologies, Sustainable Composites Engineering, and Digital Metal. Based within the Faculty of Engineering, you will act as the first point of contact
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have experience coordinating complex projects, supporting committees, and managing events such as workshops and networking sessions. A proactive team player, they are comfortable handling multiple tasks
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have worked within a large, multi-technology network environment, supporting both on-premise and cloud based services. You will also have experience of monitoring systems to manage performance and
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, to inform and enhance drug optimisation. Employ machine learning to analyse complex datasets, extract meaningful insights, and guide the optimisation of drug molecules. Contribute to interdisciplinary
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, including conducting surveys and interviews, publishing articles, and supporting scientific networks. Candidates should have a relevant PhD degree (or nearing completion) in development studies, human
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supporting scientific networks. Candidates should have a relevant PhD degree (or nearing completion) in development studies, human geography, rural sociology, anthropology, or political science; excellent oral
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storage materials analysing and presenting data and presenting complex information effectively to a range of audiences collaborating in a diverse team the development of facilities in the area of solid
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experience in problem solving. You have excellent written and verbal communication skills to communicate a complex information with clarity. What you’ll get in return: 27 days annual leave (plus bank holidays
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: Collect, manage, and rigorously analyze complex datasets; interpret results; critically evaluate existing literature; and generate original insights that align with project goals. Disseminate Findings
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of solid state hydrogen storage materials analysing and presenting data and presenting complex information effectively to a range of audiences collaborating in a diverse team the development of facilities in