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Field
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The appointee will be expected to (a) support and lead in conducting high quality research; (b) engage in teaching and learning activities in the areas specified above; (c) support academic programme management
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science. Preferred Qualifications Enrollment: Must be a current graduate student (Master’s or PhD) in a relevant field (e.g. Computer Science, Data Science, Learning Sciences, Educational Technology, or
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, and inclusion Preferred Qualifications Graduate degree (PhD or equivalent) in relevant discipline or completion of a technical program and a minimum five years of related experience or an equivalent
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understanding of enrichment devices using analytical methods and computational tools such as finite element analysis (FEA). The Senior Electric Motor Researcher will provide research and development (R&D
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research community, the department will be launching a Bachelor of Arts (Hons) in Philosophy and AI Programme from 2025-26 and offers the Master in Arts ‘Artificial Intelligence and the Future’ in
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of Artificial Intelligence). General Requirements Candidates should have (i) a PhD degree in Data Science, Artificial Intelligence, Computer Science, Computer Engineering, or a relevant discipline; (ii) a good
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a MEng/MSc in Electronics, Computer Science, Mechatronics, or a relevant discipline. You will have demonstrated track record of proficiency in C#/Python as well as experience with Unity, embedded
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programme. General Requirements The applicants should have a PhD degree in history, digital humanities, or a relevant discipline by the time of appointment in August of 2024. Appointment at the associate
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and Responsibilities The successful candidate will be expected to: Develop a nationally and internationally recognized research program with interdisciplinary connections across the CRI network at UT
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recognized research program with interdisciplinary connections across the CRI network at UT and ORNL. Contribute social science expertise to collaborative studies on the transition to circular bioeconomy