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authentic learning experiences within real-world settings. Through strategic partnerships forged by our academic staff with industry, learners bridge theoretical knowledge with practical application inside
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findings at conferences. Job Requirements: Educational Qualifications - Ph.D. in Statistics, Computer Science, Applied Mathematics, or a related field. - Strong research background in Statistics and Machine
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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optimal control with application to various water systems (e.g., wastewater treatment, desalination, etc.) Prepare grant proposals and project reports Program using Python and test theoretical findings via
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, biomedical or computational imaging). A detailed knowledge of molecular imaging, or material science is mandatory. Experience in designing and performing scientific work independently and collaboratively is a
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pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive
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Research Associate/Research Fellow (Geometric modelling and discretization of thermodynamic systems)
Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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engineering, computer science, automation and robotics engineering, mathematics/physics or related field. Strong research experience or research publications records in AI-related (or interdisciplinary field
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authentic learning experiences within real-world settings. Through strategic partnerships forged by our academic staff with industry, learners bridge theoretical knowledge with practical application inside
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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