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year-long module performance in the water industry; (ii) exploring whether machine learning, couple with transport informed models can be used to predict membrane fouling for specific applications
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external partners, you will contribute to the production of high-quality analytical outputs and publish results in leading journals. The postholder will have substantial ownership over one or more core
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modernisation in electricity distribution, with the opportunity to publish work and attend high-profile conferences This KTP is a great opportunity for someone keen to plan and deliver business change. You will
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professional bodies in shaping strategic investment in skills and curriculum design. Working closely with academic colleagues and external partners, you will contribute to the production of high-quality
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Postdoctoral Research Associate who will primarily contribute to the project. The successful applicant will be ideally educated to PhD level in Computer Science, Artificial Intelligence, Software Engineering
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of Computer Science and Digital Technologies, working closely with leading academic and industry partners. The role will include contributing to research outputs, supporting postgraduate research activity, and
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. CyberHub invites applications for a Research Assistant who will primarily contribute to the both projects. The successful applicant will be ideally educated in Computer Science, Artificial Intelligence
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outcomes in high-quality publications. Applicants must hold a good first degree and a PhD in the social sciences, with a doctoral thesis based on qualitative research methods. The PhD thesis should
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and NHS. Application is open to those clinical and non-clinical applicants. Clinically qualified applicants are advised to discuss their application with their Training Programme Director before
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: Essential Good working knowledge of low-carbon functional construction materials, with a particular interest in sustainable innovation and improving environmental performance. Proven experience in the design