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10 years of research experience. Proven track record in research and development of algorithms. Proficiency in algorithm development and programming skills using MATLAB or Phyton. Knowledge of machine
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, sensor networks, robotics, and machine learning applied to the integration of computational algorithms and physical processes; Foundational aspects and methods in Machine Learning; Applications of machine
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into detector systems. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run of the LIGO Scientific Collaboration. Develop techniques and algorithms
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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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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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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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specially designed to test the most precise navigation sensors and systems. The mission of the NRDD is to conduct new navigation technology research and development, systems engineering, and provide expert
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revolution is increasing the flexibility of industrial production and optimizing it by linking traditional production with new technologies such as IoT sensors, edge and cloud systems. This heterogeneous
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Awareness (SSA), and connecting those capabilities to optical sensor capabilities via data fusion techniques. CIRA co-operates a dedicated SSA array with Australian company Nova Systems, based in South
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, and artificial intelligence. In the first phase, the student will configure the sensors in the OR and reconcile heterogeneous signals from various sources involved in orthopedic or trauma surgery. To do