22 programming-language-"St"-"University-of-St"-"St" positions at Singapore University of Technology & Design
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the university for the development and execution of the organisational growth strategy, identifying potential funding sources, oversee the implementation of these new programme initiatives, ensuring their success
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. Ability to interactions with faculty, staff, as well as personnel from the government and the industry Applicants must possess have acquired: technical competencies in programming and exposure to cyber
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programs. He/she will make a positive contribution to an already established innovation culture and mindset for students at all levels, and engage and work with industry on challenging research problems
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the introductory programming classes and two of the core Computer Science and Design (CSD) pillar courses. Opportunities to teach at the Master's level or continuing education and training may also be available
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and functioning of both the HASS program and SUTD. This includes teaching and developing courses in their speciality, in addition to teaching in the department's team-taught core courses. Candidates
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approaches are all welcome. Candidates must be committed to excellence in teaching at the undergraduate and graduate levels. Teaching-Track faculty can develop and maintain an active research program per
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microelectronics / materials science / electronic materials as well as experience in applying AI / machine learning techniques (both data and image-based) on interesting use cases as well as strong programming
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Position: Assistant Professor, Architecture and Sustainable Design (ASD) About SUTD ASD The Architecture and Sustainable Design (ASD) programme at SUTD is a pioneer in redefining architecture
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Professor level. Highly qualified applicants with a substantial track record of research accomplishments, an active research program, and strong teaching experience may be considered for appointment as
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programming. Working knowledge of computer networks. Working knowledge of applied cryptography and/or applied machine learning is advantageous. Working knowledge in software testing is advantageous. Familiarity