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Description of the workplace Automatic Control is an exciting and broad subject, covering both advanced mathematics and hands-on engineering. Historically, it has been instrumental in many areas
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or predictive modelling, edge AI, AI for biomaterials formulation, processing and manufacturing optimization. Wearable devices – wearable physiological sensors, smart textiles, soft robotics, and exoskeletons
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exploratory analysis to support research, predictive modeling, and departmental analytics needs. Contribute to machine‑learning prototype development, including running model experiments, evaluating performance
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to generate baseline datasets for calibrating and validating predictive models of biodiversity-rich forests. Using machine learning (ML) algorithms, the Research Assistant will help predict the occurrence
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digital twins be used to provide on-line predictions as to the future expected evolution of these critical properties as the basis for safe reinforcement learning (RL) for on-line optimal control”. In
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protocol design and analysis. Prior experience with MEG or EEG is a plus. Good command of scientific English (oral/written). • Qualities: Autonomy, appetite for interdisciplinary work, organizational skills
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disciplines: • Systems and synthetic biology • Control and dynamical systems • Photonic and electronic materials • Electronic materials and devices • Cellular structural materials • Biotechnology and
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they change through time. To translate eBird observations into robust data products we create custom modeling workflows designed to fill spatiotemporal gaps based on remote sensing data while controlling
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Purpose: Maximize maintenance crew productivity across shifts and work groups through effective, customer-oriented scheduling while controlling the backlog of emergency, routine, renewal, and preventive
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Mason Libraries System to ensure visitors have accurate, visible directions for access; Resolves problems and maintains records and statistics, which can also aid in preventative and predictive