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. The project will develop methods and approaches using novel polymerisation to produce 3D porous materials to enable 3D cell growth and bioengineered in vitro models. The successful candidate will join the
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for candidates with a strong background in membrane biology, structural biology, or protein and lipid biochemistry, and a passion for applying multidisciplinary methods to understand de novo membrane protein
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innovative membrane module design, water purification and/or artificial intelligence-driven approaches for urban water management. However, the research programme can, in part, be tailored to prior expertise
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lifecycle and leading it successfully to completion. The project uses Delphi methods, making experience with the Delphi approach, alongside qualitative and quantitative research expertise, highly desirable
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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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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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. 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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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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are looking for a researcher with a PhD (or near completion) in engineering, data science, computational social science or a related discipline, with experience in data analytics, NLP or machine learning. You