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Division of Mathematical Sciences (MAS) in School of Physical and Mathematical Sciences (SPMS) is hiring a Research Fellow to become part of a team working on projects in pure mathematics in
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computer science, machine learning, data science, information science, mathematics, or related disciplines. Experiences/Knowledge in deep learning, reinforcement learning, and user interface development. Proficiency
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: Possess a PhD degree in computer science, electronic engineering, applied mathematics, perception sciences, etc. Background knowledge in signal/data compression, and data-driven and machine learning
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PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc. Have good technical reading, writing and programming skills. Have good experience
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Engineering, Mathematics or other related disciplines from a reputable university. Good publication track record is a must. Previous research experience in graph neural network preferred. Previous research
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The Division of Mathematical Sciences in the School of Physical and Mathematical Sciences of NTU provides a multidisciplinary academic program that provides students with a wide-ranging and up
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Research Fellow (Process Control/Control Science & Engineering/Applied Mathematics/Machine Learning)
Requirements: Obtained a PhD degree (or will be awarded PhD degree shortly) in Process Control, Control Science And Engineering, Applied Mathematics, Machine Learning or related fields. An excellent track record
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a good degree in Computer Science (and Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc. Have good technical reading, writing and programming skills. Have good
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Science, Mathematics, Statistics, or relevant fields. Strong background in machine learning. Experience in machine learning for optimization is preferable. Knowledge with machine and deep learning software packages
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A Research Fellow position is currently available in the School of Physical and Mathematical Sciences (SPMS) with a focus on robust optimization and procurement management. The incumbent will be