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techniques and the creation of a spectrum digital twin. You will also carry out experimental/proof-of-concept implementation work to demonstrate the applicability of your research. Your main research
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on automated, spectrum assignment techniques and the creation of a spectrum digital twin. You will also carry out experimental/proof-of-concept implementation work to demonstrate the applicability of your
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. Excellent analytical and communication skills, supported by good IT skills, and ability to adapt to digital research methods as required. Excellent interpersonal skills including a collaborative, collegiate
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Applications are invited for the above Research Associate/Fellow post based at the University of Nottingham working with Professor Craig Vear on his project Digital Scores – investigating
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globally, 90% of our research impact is world-leading or internationally excellent (REF 2021). Based in the heart of Manchester, we benefit from strong links to the region's growing digital and healthcare
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to work well with both academic and professional services colleagues, across disciplines and institutions. Your IT skills will include proficiency in Microsoft Office and the ability to use digital tools
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and makes a real difference to our communities. Our academic excellence has been recognised by the UK’s Higher Education funding bodies, with 16 of our research areas assessed as world leading. We
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thematic networks: Governance, Economy, and Social Impact; Health, Environment, and Resilience; Advanced Engineering, Materials Science, and Smart Manufacturing; Creative and Cultural Digital Futures; and
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involvement and engagement. You will have an interest in improving maternity care and/or implementing digital technologies within healthcare. With support, you will be responsible for the day to day management
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and beyond, and participating in research networks such as the Collections-Connections-Communities initiative. We particularly encourage applicants who will seek to bring new perspectives