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Researcher Assistant/Associate with a background in Interaction Design and/or Human-Computer Interaction (HCI) or related fields (e.g. Computer-Supported-Cooperative Work, Participatory Design, Digital Social
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to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 10 July 2024 The Role Thank you for your interest in joining the UK’s National Innovation
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insights to drive effective treatments. Your role will focus on exploiting distributed machine learning. You will play a major role in a work package that is leading on designing, building, and deploying
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cyanobacteria as a bio-based organic devices to deliver environmental solutions that are cryptographically biosecured by design. Our goal is to ensure the utmost safety and traceability using genomic barcoding
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working relationships with internal and external stakeholders and explore new avenues for medical applications. You may be required to design, create and present group research findings to external
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make informed decisions.. Join our dynamic interdisciplinary group and lead pioneering research to develop novel machine learning algorithms specifically designed for complex systems analysis. Your role
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your competences. You will benefit from access to the School’s mentoring scheme, individual research expense allowance, extensive training opportunities including a bespoke personal development plan, and
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, individual research expense allowance, extensive training opportunities including a bespoke personal development plan, and peer support from a cross disciplinary cohort of talented postdoctoral and early
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interpret the results for the design purposes of next generation combustors Reporting duties and meetings associated with the work Taking a leading role in the dissemination of research outcomes including
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the research plan, developing collaborations internally and externally to develop your skills and prosecute the research, in conjunction with your supervisory team. You will develop the analysis techniques