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of the peer-reviewed and grey literature on stormwater management guidelines Leading research on the optimization of existing guidelines under future climate conditions for Singapore, including
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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& design, catalyst design & modelling, and carbon capturing & conversion. Proficiency in fluidized reactor design & optimization, hydrodynamics & molecular dynamics modelling (openFOAM, Ansys Fluent, LAMMPS
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activities. Manage budgets and procurement for laboratory equipment, maintenance, and consumables, ensuring optimal resource allocation. Facilitate laboratory’s staff and researchers’ collaboration
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. The focus will be on deriving efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc
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Responsibilities: Develop and optimize flexible electronic devices, including sensors, actuators, and integrated circuits for health monitoring / wearable robotics applications. Design and fabricate flexible
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of our research systems, providing vital user support, and enhancing system functionality. You’ll collaborate closely with the IT department to optimize system performance and efficiently address user
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record of publications in reputable peer-reviewed journals or conferences in maritime transport, logistics management, machine learning, deep learning, and optimization; Proficient in written and spoken
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role in overseeing financial planning, optimizing resources, and enabling the University’s ambition and innovation. We are at the forefront of formulating, reviewing, and analysing the University’s
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lead research on next-generation solar harvesting materials, focusing on developing and optimizing synthesis methods for novel inorganic nanoparticles and quantum dots designed for solar-to-energy