47 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Singapore University of Technology & Design
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, and participation in curriculum and programme development within the Engineering Product Development Pillar. Becoming part of SUTD If you have a passion for teaching, a strong interest in materials and
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Position Description The pillar of Architecture and Sustainable Design at the Singapore University of Technology and Design invites applications for a full-time Tenure-Track Assistant Professor
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-mediated communication. The Research Assistant/Senior Research Assistant will primarily support the design and execution of empirical studies, including literature review, participant recruitment, conducting
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classes and at least two of the core Computer Science and Design (CSD) pillar courses. Opportunities to teach at the Master's level or continuing education and training programmes may also be available
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(Senior) Research Assistant on Human–AI Collaboration at Work About Us: The Future of Innovation Lab at the Lee Kuan Yew Centre for Innovative Cities (LKYCIC), Singapore University of Technology and
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Computer Science and Design (CSD) pillar courses. Opportunities to teach at the Master's level or continuing education and training programmes may also be available. Further details on the CSD core curriculum can be
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Job Description The Singapore University of Technology and Design (SUTD) is a young and innovative university with a unique educational structure and a mission to create a better world by design
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The Singapore University of Technology and Design (SUTD) is a young and innovative university with a unique educational structure and a mission to create a better world by design. Established in
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Job Requirements Strong network in industries related to computer science. Ability to develop and teach undergraduate- and master-level courses in computer science and relevant fields. Ability
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briefs Collaborate with interdisciplinary teams and external stakeholders Skills and qualifications required Bachelors or postgraduate degree (MA, MSc or equivalent) related to data science, computer science