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Field
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with UAVs for tackling wildfires, including modular, scalable methods with respect to the volume of collected data, to the number of UAVs, data sampling rates, number of sensors, centralised
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way. We are dedicated to current research questions on automated and cooperative driving and combine a wide range of competencies in the fields of sensor technology, communication and artificial
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intracranial neurophysiology, wearable sensor data, medical imaging, behavioral task data, and clinical data. The scientist will assist with data collection, data analysis, help with study design, and contribute
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AI4Science topics. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied mathematics, data science and
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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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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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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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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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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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. You will: Design, implement, integrate, and test software for performing autonomous vehicle guidance and control. This software includes monitoring sensors, controlling actuators, controlling motors