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in the recovery of valuable resources from recycling waste materials. For more details, please view https://www.ntu.edu.sg/erian This position takes place it the global project on recycling Printed
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof. Kunn’s group. The Research Fellow will play a key role in
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objectives and to help with the work of the centre. For information about CALS, please visit http://law.nus.edu.sg/cals/ . CALS values scholarship employing a wide range of methodologies (doctrinal, empirical
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development, validation, and optimization of 3D-printed propellers. This includes conducting hydrodynamic analysis, finite element modeling, as well as overseeing site-based test bedding, data collection, and
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Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help
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aspects of computational modelling, brain-computer interface technologies as well as within NUS focusing on design and application from the lens of landscape architecture. Key Responsibilities: Assist
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outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case study analysis Contribute expertise in power grid optimisation to enhance planning models Participate in
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Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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electrolyte and polyanion or oxide-based cathode materials. Project aims to optimize synthesis conditions for scale-up production of solid electrolytes (ceramic and polymer electrolytes) and positive/negative