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technology. Key Responsibilities: Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to transfer learning, explainable machine
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social
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to legal/contractual agreement relating to academic and staff exchange by working closely with relevant programmes. Assist in temporary staff engagements, new and renewal, computer account application
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and impactful research, and world-renowned faculty. Our roots began in 1988 as a humble school offering an undergraduate degree in Computer Technology, the first of its kind in Singapore. Today, we
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. Demonstrated expertise in computer networks and/or software testing and/or software security and/or applied machine learning. Track record of strong R&D capability, with publications at leading cybersecurity
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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
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teams (>10 Pax) Preferred Proficient or knowledge with Machine Learning algorithms Experience in conducting neuroimaging studies in educational contexts Experience in working with databases
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Foundations & Core (Statistical) Machine Learning; Data Analytics, Engineering, Protection; and Database Systems and Principles Responsibilities: Research : The appointee is responsible for conducting high
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets