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should have (i) a PhD degree in the related discipline; (ii) at least five years of relevant experience in teaching; and (iii) track record in academic programme development and/or management. Assistant
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thereafter is subject to mutual agreement and availability of funding. Appointment will be initially made on a tenure-track basis, but outstanding candidates may be considered for tenure on appointment
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Professors/Associate Professors/Professors/Chair Professors (on substantiation-track) in all academic fields with special focuses on One Health, Digital Society, Smart City, Matter, Brain, and related
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Computer Science, Electrical Engineering, Electronic Engineering or an equivalent qualification; (b) demonstrated track record of publications in the field of reliability engineering and machine learning; and (c
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leadership skills in managing a team, to drive forward new research initiatives. They should have a strong track record of high-quality research, relevant post-doctoral work experience or an excellent
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the appointment. The candidates should have a strong track record in at least one of the group’s research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning
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law, and event management is essential. Requirements: A relevant doctoral degree; Strong track record in research and tertiary teaching experience; Substantial publication record in high-impact
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Professors/Associate Professors/Professors/Chair Professors (on substantiation-track) in all academic fields with special focuses on One Health, Digital Society, Smart City, Matter, Brain, and related
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related field. They must demonstrate a track record of teaching excellence or maintain a distinguished design practice. International experience in education or practice is preferred. A highly
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teaching experience at the tertiary level. They should have a proven track record of excellence in teaching and demonstrate evidence of administrative experience in higher education settings. Those with less