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annual leave, plus 9 buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards
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passionate about applying ML algorithms and developing AI applied research and innovation solutions using classic ML to novel transformer neural networks. We test and measure the real customer impact of each
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materials, self-healing technologies, or sensor-integrated cementitious systems is a strong plus. Strong laboratory skills, data analysis capabilities, and a collaborative mindset. Preferred Skills
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related fields Expert knowledge of building air-conditioning and mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat
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for robotics, electrical and digital control systems, sensors and sensor networks within the Advanced Manufacturing specialisation through the UTAS Virtual Learning Environment (VLE) Foster student success and
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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes
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support research in: • Transportation systems modeling and simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling • Large-scale computing, cloud-native analytics
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future
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-taught Doctoral Education courses and write scientific articles and a dissertation. For more details, please check https://www.tudelft.nl/onderwijs/opleidingen/phd/admission . TU Delft (Delft University