862 computational-physics "https:" "https:" "https:" "https:" "Univ" positions at Nanyang Technological University
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Education (NSSE) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie
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) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie/ for more
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candidate will contribute to areas such as research programme administration, programme admissions, administration of visiting students, research student conference support, and administration of research
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31 May 2026 or until the position is filled. Other Information More information on CRCD can be found at https://www.ntu.edu.sg/nie/centre-for-research-in-child-development . Queries regarding
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MBA) Programme. To support and maintain Nanyang Fellows MBA and Graduate Studies media (websites, socials, brochures) To work with agencies for media campaigns, artwork, copy, photoshoots and video
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multiple priorities Experience in system implementation, business process re-engineering and process documentation Experience with computational methods, data analysis or modelling to support organizational
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mentoring students. The university fosters a dynamic and collaborative community and aspires to address global challenges. Home to Singapore’s largest Maritime Studies Programme, the School of Civil and
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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enterprise data platforms, automation technologies, and analytics within a large and complex organisational environment. Key Responsibilities: Business Process & Requirements Support Assist in documenting
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of nonlinear optics through the integration of artificial intelligence. The successful candidate will lead projects that combine the development of Physics-Informed Neural Networks (PINNs) with advanced fiber