123 distributed-algorithm-"Meta"-"Meta"-"Meta" positions at Nanyang Technological University
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one statistical software package (e.g., SPSS, R , Stata, M plus) Proficient or knowledge with Machine Learning algorithms Experience in working with databases. Experience with Qualtrics Familiar with
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applicant is expected to be familiar with fully homomorphic encryption and its applications in AI models. Key Responsibilities: Conduct research into trust technologies testing – translating algorithms, tools
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: Identify market-readiness of IDMxS inventions Coordinate the preparation of marketing materials for distribution and dissemination Research local and global industry trends and needs Develop Communications
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impact of programmes. Ensure a customer-centric operations/processes with the end users’ satisfaction in mind. Develop and facilitate the production and distribution of wellbeing resources for the NTU
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. The focus will be on deriving efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc
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to assist with organizing webinars / seminars, workshops and conferences. This includes but is not limited to Designing and distributing EDMs and invitations coordinating with speakers / guests managing
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regular basis. Coordinate with all units to manage the NTUpreneur event calendar. Procure and manage corporate gifts, its distribution and inventory. Requirements: Bachelor’s degree from a recognised
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of investment returns. Responsible for the preparation of investment fund reporting such as Income allocation report and distribution reports. 6. Development and Sinking Fund accounting and reporting: Responsible
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of innovative solutions in energy efficiency and distributed energy resources. ERI@N distinguishes itself through research excellence directed towards outcomes of industry relevance, with focus on systems-level
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of innovative solutions in energy efficiency and distributed energy resources. ERI@N distinguishes itself through research excellence directed towards outcomes of industry relevance, with focus on systems-level