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- LINGNAN UNIVERSITY
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mentoring graduate and undergraduate students. Qualifications PhD or terminal degree in Architecture, Design, Architecture Engineering, or related field. A track record of publishing and seeking funding
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students. Qualifications PhD or terminal degree in Industrial Engineering, Operations Research, Systems Engineering, Artificial Intelligence, Robotics, or related field. A track record of publishing and
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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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proposals, supporting existing research projects, and mentoring graduate and undergraduate students. Qualifications PhD or terminal degree in Civil Engineering, Construction Management, Architectural
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and meetings elected positions held 20% 20% Application Procedures Applicants must check with their graduate program regarding their program’s internal application deadline. Internal application
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provider and they have accepted their offer of a place on an FE ITE programme. FE teacher training subject/ bursary awards Mathematics: £30,000 Science, including Biology, Chemistry, and/or Physics: £30,000
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around human and humanities. Lingnan University strives to enhance innovation and technology research to drive a positive impact in the society and the world. Building upon Lingnan University’s existing
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of Philosophy in Pharmaceutical Sciences (PhD) Developing small molecule inhibitors of STAT1 protein in rheumatoid arthritis View All Stories Further Information Please review the harmonized program description
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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
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Engineering Classification: RO Tenure: Continuing Language Requirements: English Work Arrangements: Due to the nature of the work and operational requirements, this position is eligible for a hybrid work