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, enhancements, optimizations, and new modules or software while also ensuring they complete adequate change control and testing processes. Team members work on a vast array of projects that propel MM
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of cementitious binders, including blended cements. Develop curing-specific DoC prediction models and validate against experimental results. Determine the effect of controlled exposure conditions on the DoC
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predict the location of resources more accurately, it is necessary to model these processes jointly at the basin scale. However, directly solving geochemical equations is computationally expensive and
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communication skills are also required. Desirable attributes include experience with PCM systems, bioenergy, IoT-based control, model predictive control, digital-twin development, prototype commissioning
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frameworks such as COLMAP and Open3D; Ability to develop algorithms for object detection and tracking, 3D reconstruction, and SLAM. Advanced Control and Intelligent RoboticsSolid knowledge of classical and
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the freshwater budget. It is essential to comprehend the various components of sea level change in order to enhance our capacity to predict and adapt to future sea level changes. It is expected that research
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, we aim to create autonomous “self-driving” microscopes that: build statistical models of biological dynamics in real time predict the most informative next experiment execute it automatically on living
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Reports) https://doi.org/10.1038/s41598-024-82112-4 Ly et al. (2021) – Predictive haptic guidance in shared control (IEEE RO-MAN) https://ieeexplore.ieee.org/abstract/document/9515326 Singh et al. (2020
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long-term performance predictions. This PhD project aims to improve process-based understanding of infiltration dynamics in nature-based stormwater solutions by combining field monitoring, experimental
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intrapersonal and communication skills in order to relate with current and propsective student athletes, athletic department personnel and media. Computer literacy. Demonstrated regular and predictable attendance