05.02.2025
CPNN+ travel award funding now open!
Are you an ECR looking to attend an upcoming neurotechnology related event? Or would you like to host a workshop, or present your research? We are looking to support some ECR's! Get in touch with us to find out more. More details can be found on our 'Opportunities' page.
We are looking to support ECR’s by awarding up to £2,000 per applicant to support with any upcoming travel, conference registration fees, training and development opportunities etc. These awards are open to ECR’s in the neurotechnology, chronic pain community. Early Career Researchers must be within eight years of their PhD viva (this excludes any time taken for parental leave, carers leave, sick leave, or any other similar reason). Please note, that if there are additional circumstances that are relevant to this timeframe, please discuss with us and we can review this. We invite applications from UK institutions only. Applicants must also meet the UKRI criteria to receive funding. Unfortunately, due to funding restrictions, we are unable to accept applications from students. Please get in touch with abigail.stuart@ndcn.ox.ac.uk for our full terms and conditions and to complete an application form. Please also visit our opportunities page to find out more https://cpnn.ac.uk/opportunities/
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Registration for our Neurofeedback workshop is now open!
Our third annual CPNN+ hybrid workshop will be held on 19th & 20th June 2025 at the Advanced Research Centre (ARC) at the University of Glasgow. Please visit our 'activities' tab for more details or click into this news article to register below.
CPNN+ P.I awarded ARIA funding for future adoption of neurotechnologies
Funding from the Advanced Research + Invention Agency (ARIA) to advance research that could unlock next-generation precision neurotechnologies.
Free online webinar on ‘Learning How to Get Old: A Balance of Immunity and Autoimmunity’ by Prof. Eoin Mckinney, University of Cambridge
This talk explores groundbreaking research on immune ageing, analysing data from over 6,700 individuals to reveal how immune traits change across the lifespan. Using machine learning, Eoin’s work identifies "immune age" as a predictor of mortality, independent of chronological age, and highlights key immune mechanisms linked to survival. Genetic analyses further uncover connections between immune ageing and autoimmune diseases, offering new insights into ageing and longevity.