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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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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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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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to principal investigator Assist in proposal preparation Job Requirements: PhD in chemistry, physics, chemical engineering, computer science, or other related fields Research background in theoretical catalysis
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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
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: PhD in Materials Science, Chemistry, Physics, Computer Science, or a related field. Strong expertise in machine learning for materials science (e.g., generative models, neural networks, active learning
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computational simulations in the area of density functional theory (DFT). The role will focus on understanding and predicting the properties of novel functional materials, including surfaces and interfaces
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving
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and testing, process modelling, data processing and reporting, progress report preparation, etc. Journal paper publication. Assistance in research proposal preparation, etc. Assistance in mentoring
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and testing, process modelling, data processing and reporting, progress report preparation, etc. Journal paper publication. Assistance in research proposal preparation, etc. Assistance in mentoring