50 coding-"https:" "https:" "https:" "https:" "https:" "NOVA.id" positions at Trinity College Dublin
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please following link below: http://www.tcd.ie/hr/assets/pdf/academic-hours-public-service-agreement.pdf How to apply: Applicants will need to submit the following via the recruitment portal: A cover
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staff are those as prescribed under Public Service Agreements. For further information please following link below: http://www.tcd.ie/hr/assets/pdf/academic-hours-public-service-agreement.pdf How to apply
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public pay policy. Hours of Post for academic staff are those as prescribed under Public Service Agreements. For further information please following link below: http://www.tcd.ie/hr/assets/pdf/academic
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accordance with the Department of Finance guidelines.” https://www.tcd.ie/hr/employee-services/pay-scales/ How to Apply: To assist the selection process, applicants should submit a Curriculum Vitae and a Cover
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Public Service Agreements. For further information please follow the link below: http://www.tcd.ie/hr/assets/pdf/academic-hours-public-service-agreement.pdf Closing Date: 12 Noon (Irish Standard Time), 28
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the Trinity Centre for Practice and Healthcare Innovation (TCPHI) research centre in the School of Nursing and Midwifery, Trinity College Dublin offers leading expertise: https://nursing-midwifery.tcd.ie
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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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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 https
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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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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