628 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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technically and support the development of Research Directors, Programme Managers, and group members through mentorship. Job Requirements: PhD in Physics, Computer Science Engineering or Quantum related area
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leadership skills, and explore intellectual boundaries through interdisciplinary collaborations with fellow students and scholars. Key Responsibilities: Student Talent Development Programme (STDP 2.0) Provide
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Research Associate (Computer Engineering/Computer Science/Engineering/Mathematics/Biology/Chemistry)
Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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, including organizing research activities, managing projects, and contributing to grant proposals. Job Requirements: PhD degree in communication, psychology, sociology, Human-Computer Interaction (HCI
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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The incumbent will be supporting the Programme Leads of the MSc Finance (MSF) and MSc in Actuarial and Risk Analytics (MARA) programmes. Key accountabilities and responsibilities include (but not
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to brand awareness and positioning, marketing of assigned programmes, and achieving the enrolment goals of the UG programme. He/She will collaborate closely with the other team members by supporting
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realistic scenarios Evaluate performance of the proposed algorithms and compare the algorithms with benchmarks Publish the results in top-tier journals and conferences Job Requirements: Bachelor’s degree in
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational