51 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" "St" positions at Trinity College Dublin in Ireland
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to modulate brain ageing in European citizens through improved nutrition – the BOOMERANG project’. https://era4health.eu/fp/detalleproject.php?conexion=51 An estimated 40% of dementia cases may be prevented
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October 2025 Application will only be accepted by applying online through the Trinity Jobs Portal http://jobs.tcd.ie Applications must be made by the date and time specified. Any applications which
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through the Trinity Jobs Portal http://jobs.tcd.ie Applications must be made by the date and time specified. Any applications which are still in progress at the closing time on the specified closing date
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on the Executive Officer Salary Scale €33,523 - €51,715 per annum and in accordance with the Department of Finance guidelines.” https://www.tcd.ie/hr/employee-services/pay-scales/ How to Apply: In order to assist
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noon (Irish Standard Time) 5th February 2026 Application will only be accepted by applying online through the Trinity Jobs Portal http://jobs.tcd.ie Applications must be made by the date and time
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own initiative and resolve problems. Closing Date: 12 noon (Irish Standard Time) 30th January 2026 Application will only be accepted by applying online through the Trinity Jobs Portal http://jobs.tcd.ie
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(TCIN), Trinity College Dublin and Mercer’s Institute for Successful Ageing (MISA), St. James’ Hospital. Location onsite at St. James’ MISA and TCIN is required for the full course of the program
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attendance. For more information, visit: https://www.tcd.ie/alumni/about-us/careers/ Application, Assessment, and Interview Process Submit your CV along with a with a Cover Letter to https://tda.bamboohr.com
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, Trinity College Dublin is seeking to recruit a postdoctoral researcher to assist with service improvement innovation initiatives at St Patrick’s Mental Health Services (SPMHS), James Street, Dublin 8
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annotation and coding for automated tackling analysis. The role involves careful review and systematic labelling of large volumes of rugby footage to support Machine Learning applications and performance