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Knowledge Transfer Network

Knowledge Transfer Network

45 Projects, page 1 of 9
  • Funder: UK Research and Innovation Project Code: BB/P504993/1
    Funder Contribution: 104,374 GBP

    Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at https://www.ukri.org/apply-for-funding/how-we-fund-studentships/. Training grants may be to one organisation or to a consortia of research organisations. This portal will show the lead organisation only.

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  • Funder: UK Research and Innovation Project Code: EP/R026939/1
    Funder Contribution: 2,201,660 GBP

    Catalysis is a core area of science that lies at the heart of the chemicals industry - an immensely successful and important part of the overall UK economy, where in recent years the UK output has totalled over £50B annually and is ranked 7th in the world. This position is being maintained in the face of immense competition worldwide. For the UK to sustain its leading position it is essential that innovation in research is maintained, to achieve which the UK Catalysis Hub was established in 2013; and has succeeded over the last four years in bringing together over 40 university groups for innovative and collaborative research programmes in this key area of contemporary science. The success of the Hub can be attributed to its inclusive and open ethos which has resulted in many groups joining its network since its foundation in 2013; to its strong emphasis on collaboration; and to its physical hub on the Harwell campus in close proximity to the Diamond synchrotron, ISIS neutron source and Central Laser Facility, whose successful exploitation for catalytic science has been a major feature of the recent science of the Hub. The next phase of the Catalysis Hub will build on this success and while retaining the key features and structure of the current hub will extend its programmes both nationally and internationally. The core activities to which the present proposal relates include our coordinating activities, comprising our influential and well attended conference, workshop and training programmes, our growing outreach and dissemination work as well as the core management functions. The core catalysis laboratory facilities within the research complex will also be maintained and developed and two key generic scientific and technical developments will be undertaken concerning first sample environment and high throughput capabilities especially relating to facilities experimentation; and secondly to data management and analysis. The core programme will coordinate the scientific themes of the Hub, which in the initial stages of the next phase will comprise: - Optimising, predicting and designing new catalysts - Water - energy nexus - Catalysis for the Circular Economy and Sustainable Manufacturing - Biocatalysis and biotransformations The Hub structure is intrinsically multidisciplinary including extensive input from engineering as well as science disciplines and with strong interaction and cross-fertilisation between the different themes. The thematic structure will allow the Hub to cover the major areas of current catalytic science

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  • Funder: UK Research and Innovation Project Code: EP/V025724/1
    Funder Contribution: 1,823,390 GBP

    Wearable neurotechnology utilization is expected to increase dramatically in the coming years, with applications in enabling movement-independent control and communication, rehabilitation, treating disease and improving health, recreation and sport among others. There are multiple driving forces:- continued advances in underlying science and technology; increasing demand for solutions to repair the nervous system; increase in the ageing population worldwide producing a need for solutions to age-related, neurodegenerative disorders, and "assistive" brain-computer interface (BCI) technologies; and commercial demand for nonmedical BCIs. There is a significant opportunity for the UK to lead in the development of AI-enabled neurotechnology R&D. There are a number of key challenges to be addressed, mainly associated with the complexity of signals measured from the brain. AI has the potential to revolutionise the neurotechnology industry and neurotechnology presents an excellent challenge for AI. This fellowship will build on the award-winning AI and neurotechnology research of the fellow and offer real potential for impact through established clinical partnerships and in the neurotechnology industry. The objective of this project is to build on award-winning AI and neurotechnology R&D to address key shortcomings of neurotechnology that limit its widespread use and adoption using a range of key neural network technologies in a state-of-the-art framework for processing neural signals developed by the proposed fellow. The AI technologies developed for neurotechnology will be applied across sectors to demonstrate translational AI through engagement with at least 10 companies across at least 5 sectors during the fellowship, to demonstrate societal and economic benefit and interdisciplinary and translational AI skills development. The project has multiple industry, clinical and academic partners and is expected to produce world-leading AI technologies and propel the fellow to world-leading status in developing AI for neurotechnology which will impact widely. A major focus of the project is ensuring the expectations of the fellow role are met. This includes:- -Ensuring the processes and resources are in place to build a world-leading profile by the end of the fellowship; -Focusing on planning research of the team as new results emerge and hypothesis are tested, to refine and develop a high-quality programme of ambitious, novel and creative research, in AI-enabled Neurotechnology. Specific focus will be ensuring meticulous planning, execution and follow-up to produce world-leading results; -Continuing to perform my leadership role as director of the ISRC and leader of the data analytics theme, expanding the team and actively seek to develop into a position of higher leadership of the research agenda at Ulster, and in the national and international research community; -Focusing on strengthening relationships and collaborations with colleagues in industry and academia, and maximising the potential for flexible career paths for researchers within the team -Acting as an ambassador and advocate for AI, science and ED&I including by continuing to actively provide opinions and engaging with questions around AI and ethics, and responsible research and innovation (RRI). A focus will be embedding this throughout the activities of the fellowship but across the region and internationally; -Seeking to engage with and influence the strategic direction of the UK AI research and innovation landscape through engagement with their peers, policymakers, and other stakeholders including the public through. -Ensuring that the fundamental research is developed to have a high likelihood of impact on UK society/economy through trials across a range of patient groups to develop the evidence base and transfer of intellectual property to products, in particular through NeuroCONCISE Ltd, a main project partner.

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  • Funder: UK Research and Innovation Project Code: BB/P504488/1
    Funder Contribution: 106,542 GBP

    Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at https://www.ukri.org/apply-for-funding/how-we-fund-studentships/. Training grants may be to one organisation or to a consortia of research organisations. This portal will show the lead organisation only.

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  • Funder: UK Research and Innovation Project Code: EP/M01326X/1
    Funder Contribution: 23,061,200 GBP

    We are an interdisciplinary team of physicists, engineers, and computer scientists seeking to form a Hub in Quantum Enhanced Imaging. Our Hub will link world-leading quantum technologists with global industry leaders to transform imaging in alignment with industry priorities and national/international economic and societal needs. Together we will pioneer imaging and sensing systems with breakthrough functionality by developing a family of quantum-enhanced multidimensional cameras operating across a range of wavelengths, timescales and length-scales. Innovations will include: - imaging with the most minimal, or only infrared, illumination; - imaging even where line of sight is blocked; - imaging at wavelengths unachievable by any conventional camera technology;imaging gravity fields with unprecedented sensitivity; and - imaging the microscopic world using quantum light. Quantum Technologies applied to imaging will create cameras offering functionality that is currently not available, transforming a multitude of applications in defence, security, transport, energy, aerospace and the medical/life sciences. We are the only proposed Hub to address the imaging need, and we have over 30 industry partners firmly committed to the aims of the Hub. These partners range from SMEs such as M-Squared Lasers through to multinationals including Thales, e2V and Selex, and consortia including the CENSIS innovation centre, Fraunhofer UK, the UK Astronomy Technology Centre and government bodies including DSTL and NPL. We will support this industrial engagement and exploitation pipeline through a £4M Partnership Fund, managed by our business-led Opportunities Panel that will support jointly funded projects with industry. An additional £3M investment from the Scottish Funding Council will create innovation space within the Hub where companies can co-locate with the academic teams in refining demonstrator systems advancing their TRL to fully precompetitive prototypes. We will engage with the UK's Science Centre Network creating a quantum technology exhibition targeted to interested adults with appeal to wider family audiences and school groups. The exhibit will create space for dialogue about the impact of quantum technologies on the way we live, work and communicate, giving the public an opportunity to feed back their views to the research team. The key strength of this proposal is the combination of a broad-based, highly experienced university consortium with established industry relationships and the relevance of a programme concept shaped by the challenges facing our industry partners.

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