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Field
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interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS
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knowledge mobilisation. The Centre is pleased to invite applications for our popular Research Apprenticeship scheme which runs on an annual basis. Previous apprentices are studying for PhDs, working in the UK
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combination of education and experience. - Willingness to respect diverse perspectives, including perspectives in conflict with one’s own - Demonstrates a commitment to enhancing one’s own awareness, knowledge
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transferable research skills. Application Deadline: May 1, 2026 CORE DUTIES: Participating in the planning and performing/conducting research tasks by applying basic knowledge and understanding of scientific
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interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS
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while supporting effective service delivery models and student information systems. Experience with student record systems is preferred. Knowledge of institutional data management. Strong leadership
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competing priorities, and deliver high-quality work to timelines. Strong working knowledge of ICH-GCP, research governance, ethical frameworks, and regulatory requirements relevant to clinical research
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Assessment criteria Candidates will be assessed on the basis of the following criteria: Technical competencies Advanced knowledge of Canadian Aviation Regulation requirements for Aircraft Maintenance
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mobility, balance, and strength testing cognitive performance testing Assists with intake, inventory, cleaning and dispensing of wearable mobility and sleep tracking equipment. May be required to perform
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diverse perspectives, including perspectives in conflict with one’s own - Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion