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Field
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of AR glasses that support local AI models Integration of additional sensor technology to enable stroke detection Development of algorithms and application of AI models to recognize stroke symptoms
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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communication protocols to support data sharing across multiple agricultural sites using networked edge devices. Develop AI algorithms for distributed deep learning that optimize training time and ensure data
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Develop and conduct experiments in support of basic research Develop and refine algorithms for multi-physics geophysical signal processing and inversion (e.g., IP, ERT, EM). Validate and integrate novel
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. You will: Design, implement, integrate, and test software for performing autonomous vehicle guidance and control. This software includes monitoring sensors, controlling actuators, controlling motors
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interaction in geoenergy systems Develop and conduct experiments in support of basic research Develop and refine algorithms for multi-physics geophysical signal processing and inversion (e.g., IP, ERT, EM
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the future of technology. Essential Duties and Responsibilities Design, simulate, and implement advanced control algorithms (e.g., PID, adaptive, model predictive control. Etc.) for biomedical devices and
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions
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-Time Structural Health Monitoring (SHM): Sensor-integrated ML models will be developed to analyze real-time data from installed wind turbine towers, enabling early fault detection and predictive
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wireless spike-based sensor node communication, including optimized spike modulation, stochastic modeling of a spike-based signal processing chain, and task-based communication. Algorithm design for