10 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" research jobs at Trinity College Dublin
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for research, AI, and machine learning applications, accelerating medical innovation while ensuring privacy and ethical standards. https://ihi-search.eu/ About the Role SEARCH (Synthetic hEalthcare dAta
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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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staff are those as prescribed under Public Service Agreements. For further information please following link below: https://www.tcd.ie/hr/assets/pdf/academic-hours-public-service-agreement.pdf Salary
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collection of blood samples (for genetic testing by another researcher). The researcher will work as part of the team of a young, multidisciplinary team led by Dr McMackin, with collaborators from
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Work and Social Work and Social Policy, Trinity College Dublin, is seeking to appoint a Research Assistant to work with Dr Paula Mayock, who is leading a qualitative study of homelessness and housing
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at Trinity College, the University of Dublin are seeking a research assistant to work with Dr Matthew Saunders on the FarmAI project (Agricultural Methane Emissions: Farm Scale to Regional Scale) funded by
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contact details of 2 referees (including email addresses), to:- Dr Matthew Saunders saundem@tcd.ie At Trinity, we are committed to equality, diversity, and inclusion. Trinity welcomes applications from all
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invites applications for the position of Post-Doctoral Research Fellow to join the Plant Ecophysiology research group in the discipline of Botany, led by Dr Matthew Saunders. This position is part of
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), to: Name: Dr. Andrea Mulligan Email Address:andrea.mulligan@tcd.ie At Trinity, we are committed to equality, diversity, and inclusion. Trinity welcomes applications from all individuals, including those
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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