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to teach undergraduate courses with an emphasis on Japanese Art, and also Art Theory and Criticism, commencing in August 2025. The instructor will be responsible for leading seminars in addition to syllabus
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background in landscape ecology, geography or even landscape architecture is helpful, the work is expected to lean heavily on mathematical, statistical and quantitative analysis of the LiDAR data to not only
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to, urban sustainability, urban systems and infrastructures (including smart cities), urban liveability and inequality, and/or novel approaches to urban theory development. We also welcome applicants trained
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, NeurIPS, CCS, NDSS ICML, AAAI, ICLR, etc.) Job Requirements: Master’s degree in Computer Science, AI, Cybersecurity, Mathematics, or a related field with a strong foundation in AI/ML and quantitative
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of Chemistry, Chemical Engineering and Biotechnology, and the School of Physical and Mathematical Sciences. Responsibilities: Establish strong partnership with the business units to drive organizational
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Adjunct Lecturer, MAF FNCE6048 Advanced Equity Analysis & Portfolio Management G3, 2025-26 Aug Term - (2500006Y) Description A premier university in Asia, the Singapore Management University (SMU) is internationally recognised for its world class research and distinguished teaching. Established...
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in Computer Science, Mathematics, or a related field. Strong publication record in leading cryptography and theoretical computer science conferences. Demonstrated ability to conduct independent
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Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked among the world’s top universities. The Division of Mathematical Sciences in the School of Physical and
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, mathematical modeling and health economics Responsibilities Main responsibilities include:- Support SSHSPH in existing research studies Develop new research proposals for SSHSPH. Teach infectious disease
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the growth and development of students’ 21CC; and (3) To build a foundation for a theory of transference of learning and skills across domains by exploring the potentials of AIIBL for cross-disciplinary