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the health and performance of humans in several situations (e.g. firefighters, who are exposed to extreme heat, or older adults who are exposed to heat stress during heat waves) by modeling the environment
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for Robotic and Autonomous Perception This project aims to make robotic perception systems safer and more reliable by developing new techniques that continuously monitor the performance of their machine
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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plants. These advantages include being more compact, lower costs, using single-phase fluid rather than two-phase fluid used in steam turbines, higher cycle efficiency when using low temperature heat
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in lab meetings, at conferences, and through writing papers. As part of our team, you will contribute to an enthusiastic, collaborative and respectful environment, in which we can perform high-quality
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the MMI apparatus, gaining knowledge of, for example, molecular and atomic beams, ultra-high vacuum systems, cryogenic technologies and a range of measurement and surface science techniques. They will also
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young scientists to join an enthusiastic and collaborative team in an outstanding scientific environment to perform research. The successful candidates should have a biochemistry, biophysics or related
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highly efficient operation. TBCs are crucial to ensure the safe and high-performance operation of such critical parts under extreme temperatures and pressures; however, external contaminants (e.g. Calcium
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track Research Assistant/Associate/Full Scientist, in the area of plasma physics and magnetic fusion. Initial appointment is for one year, with reappointment anticipated based on funding and performance
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., Ni superalloy turbine blades) to ensure a reliable and highly efficient operation. TBCs are crucial to ensure the safe and high-performance operation of such critical parts under extreme temperatures