Search results for 'AI'
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ERA-NET NEURON interdisciplinary approaches to the neuroscience of pain
Apply for funding as part of a transnational consortium of three to five partners to improve knowledge of the neuroscience of pain using interdisciplinary approaches. This is an ERA-NET NEURON Joint Transnational opportunity. The Medical Research Council (MRC) are one of 19 organisations offering funding through the initiative.
EPSRC Centres for Doctoral Training
This funding opportunity is only open to applications assessed in the outline stage of the EPSRC Centres for Doctoral Training (CDTs) funding exercise and invited to submit to the second stage.
Research for a digitally enabled circular economy and sustainable digital technologies
Funding for collaborative research that contributes to the development of a digitally enabled circular economy and more sustainable digital technologies. This can include software, hardware and combined technologies.
British Election Study 2027 to 2032
Apply for funding to run the British Election Study between 2027 and 2037, and the funding for the 2029 UK general election in Great Britain and surveys aligned to local elections.
UK-Ireland collaboration in the creative economy: research networking awards
Apply for funding to form creative economy focused networks between researchers and stakeholders in the UK and Ireland.
UKRI artificial intelligence research and innovation strategic framework
This framework outlines UK Research and Innovation's (UKRI) future investments in artificial intelligence (AI) across six priority action areas.
Optical wireless communications research and testing facility
Apply for funding to establish optical wireless communications research and testing facility.
Northern Ireland Election Study 2026 to 2031
Apply for the opportunity to run the Northern Ireland Election Study (NIES) between 2026 and 2036, and the funding for the 2027 devolved election and the 2029 UK general election in Northern Ireland.
Building a starry sky of knowledge in the life sciences
As the life sciences generate increasingly more data, an institute near Cambridge is addressing how we archive, share and analyse the world’s biological data.