January 2023 newsletter

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Will be going out around 13th January please comment with any content you'd like included

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https://www.mathprograms.org/db/programs/1359 USA employees only though

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New funding call from UKRI - coming in January. Deadline: 28 March 2023 Apply for funding to develop innovative artificial intelligence (AI) technologies to be applied to health challenges. Proposals from multidisciplinary teams are welcomed within priority areas in AI for health from across the UK Research and Innovation (UKRI) remit. To lead an application, you must be based at a UK research organisation eligible for UKRI funding. The full economic cost of your project can be up to £750,000. UKRI will fund 80% of the full economic cost. This funding opportunity seeks to develop innovative AI research that can be applied to the most pressing health problems and change how health research is conducted. This programme will endeavour to bring together researchers across different disciplines and sectors to achieve this. Innovation in AI can tackle a range of health-socio-scientific-technical issues such as: use of AI within important or underexplored (from the perspective of AI) areas of health research, or both need for new or improved AI approaches and ways of applying AI in health research understanding and tackling pertinent data issues needed to progress health AI research ensuring AI is fit for use. Addressing issues of responsibility, bias, end user needs, and similar areas by incorporating these approaches, or redesigning existing tools taking into account responsibility, bias, end user needs to ensure they are fit-for-purpose https://www.ukri.org/opportunity/artificial-intelligence-innovation-to-accelerate-health-research/

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https://www.imperial.ac.uk/jobs/description/MED03309/clinical-trials-statistician

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https://www.linkedin.com/posts/danielsabanesbove_rstats-rprogramming-webinar-activity-7011715812050763776-XJ9s?utm_source=share&utm_medium=member_desktop

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ask for people to nominate themselves as speakers for knowledge share?

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https://psiweb.org/events/event-item/2023/01/19/default-calendar/psi-biomarkers-sig-webinar-biomarkers-in-clinical-development?utm_source=Social%20Media&utm_medium=Twitter&utm_campaign=Webinar&utm_term=Post&utm_content=04Jan23

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https://www.eventsforce.net/turingevents/frontend/reg/thome.csp?pageID=92268&eventID=254&traceRedir=2

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https://twitter.com/FLGenomics/status/1607366567968243713?t=6nwwHPquJw8z0lYswROYGw&s=31

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https://twitter.com/BrieucLehmann/status/1612385866780925952

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https://www.eventbrite.co.uk/e/bhf-data-science-centre-januarys-monthly-webinar-tickets-477288501757

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The Turing Institute's ‘Bridging Machine Learning and Behavioural models’ Interest Group is organising a seminar on the 19th January. Please see details below- all welcome. Seminar on Bridging Machine Learning and Behaviour Models in the Context of Health Science The next seminar of the ‘Bridging machine learning and behaviour models’ special interest group will focus on health behaviour and AI - where we will hear a keynote from Professor Mihaela van der Schaar, the John Humphrey Plummer Professor of Machine Learning, AI and Medicine at the University of Cambridge. Her talk will cover ‘Quantitative Epistemology: A machine learning field aimed at creating a new human-machine partnership’ The seminar will take place online on Thursday 19th January at 4pm GMT, and you can register to join at this link.

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Researcher Roadshow "Exploring Health Data Science" Open for registrations! The NIHR Research Design Service, Health Data Research UK (HDR UK), the MRC Regulatory Support Centre and NHS Digital are pleased to offer the opportunity to attend the sixth in a series of virtual researcher roadshows, taking place on March 1st 2023 (10:00am-12:00pm). This free to attend Roadshow is aimed at researchers and others working with health and social care datasets seeking to increase their understanding of Health Data Science. The agenda will include: An overview of current Health Data Science A review of Health Data Science methodologies Personal reflections on careers in Health Data Science Register via this link: https://lnkd.in/e7UrX66h Please send any questions about the Roadshow to: rsc@ukri.org.

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https://twitter.com/DS_x_HE/status/1612757768385056768?s=20&t=9_z3_y0VtATzZ4pcYb4vqQ