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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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will work under the direction of Prof. Abhishek Halder and will conduct interdisciplinary research in the areas of stochastic control, optimal mass transport, and the Schrödinger bridge. They will pursue
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this role, you will shape how campus buildings are controlled, monitored, and optimized—helping create efficient, resilient, and responsive facilities that align with Purdue’s mission of innovation and impact
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technical team. You will work on the design, assembly, and optimization of experimental setups and inspection systems (femtosecond laser illumination, PMT detection), considering nonlinear optics and
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Associate will be actively involved in projects on optimization, data analytics, and control in power distribution systems, working closely with partners from utility companies and national laboratories, and
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tools to tackle the voltage security problem in transmission networks with a large presence of renewable generation by optimally employing non-costly control actions like (i) displacement of available
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, troubleshooting, and optimization of building automation and energy management systems. Provide technical guidance and escalation support for complex control issues involving HVAC, electrical, and life safety
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adjustments. Makes adjustments to ensure optimal system operation. Tests water in cooling towers; adds chemicals for control of alkalinity, algae, and scale formation in condensers. Test the water in closed
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and implement robotic control systems Optimization of formulation for UV 3D printing / direct ink writing 3D printing Contribute to ongoing soft robotics research Design and prototype using CAD software
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to the development of an innovative microphysiological system dedicated to modeling human beige adipose tissue organoids in a controlled metabolic environment. The candidate will design and implement advanced 3D