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to the director of the Trinity Centre for Asian Studies, this Research Fellow post supports a major strategic initiative to expand Cantonese teaching and learning at Trinity College Dublin. The role aligns with
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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
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sensing across telecommunications networks to deliver the performance level required by the multiple sensing applications. The applicants should have a solid theoretical background on machine learning
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about Trinity’s traditions, ceremonies and College protocols, or the ability to learn about these quickly. They will be a team player and extremely reliable. Post status: Specific Purpose Contract Hours
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at the forefront of educational excellence. Teaching and Learning Initiatives are funded by a range of key stakeholders including the National Forum for Teaching and Learning/Higher Education Authority (HEA
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2026. This role is designated as a specifically designed training position for medical doctors. The nature of the role is intended to provide structured learning and development within a defined period
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Qualifications Ireland (QQI). The Quality Office1, one of five units within Trinity Teaching and Learning (TT&L), is responsible for leading and ensuring that Trinity is aligned to national and international
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Plan 2025–2030 and its commitment to lifelong learning. Reporting to the Micro-credentials Programme Director, the postholder will take responsibility for the project to design, co-ordinate, and delivery
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intended to provide structured learning and development within a defined period, after which the employee is expected to progress to the next stage of their career. As such, the role is not intended for long
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designated as a specifically designed training position for medical doctors. The nature of the role is intended to provide structured learning and development within a defined period, after which the employee