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Field
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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) statistics and data science Experience with mathematical modelling (e.g., linear algebra, linear models methodologies) Demonstrated programming skills in C/C++, Python, R or comparable languages. Experience
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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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.. Theoretically understanding and constructing novel generative models. Applications of AI to scientific settings. Basic Qualifications PhD in Computer Science, Mathematics, Physics, Engineering or the equivalent
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journals, and contribute to project reporting and collaborative research activities. Qualifications • A PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics
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• Possess at least a PhD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and
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computation, including surrogate models, efficient proposal mechanisms, and learned transport maps. • Analyse the mathematical properties of proposed algorithms, including convergence and ergodicity where
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, of a PhD in physics, mathematics, chemistry, computer science, engineering, or a closely related field. Strong foundational knowledge of, and research experience in, dissipative quantum dynamics
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, such as computer science, neuroscience, engineering, physics, applied mathematics (or be near to completion of their PhD). Skills in computer programming (especially Python or C++ or Matlab) and