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Field
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research group, which leads pioneering work in multi-sensor navigation, signal processing, and system integrity for aerospace, defence, and autonomous systems. The research will deliver a comprehensive
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TAMU. Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in the environment. Knowledge of characteristics associated with mild cognitive
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tackles multidisciplinary topics from signal processing to machine learning to algorithm design with a focus on sensor systems. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning
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, extensible interface to support additional common sensor types, as needed by users. The project includes building embedded processing pipelines that reduce raw data at the sensor level. You will develop AI and
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want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
control hardware. Collaborate with cross-functional teams including clinical, algorithm, and mechanical engineering to define system requirements, sensor specifications, and patient interaction protocols
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Refine the pressure-sensing system, calibration and control algorithms Contribute to the durability testing and validation to meet ICU clinical standards Collaborate with a multidisciplinary team of
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a set of suitable EGG sensors, thereby enabling an electrogastrogram. This device will be created by SYMME in collaboration with the expertise of LIP/PC2S. Objective 2: Once the device has been
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, including Computational Fluid Dynamics (CFD) for thermal analysis and energy simulation for consumption modelling. Design, train, and implement advanced machine learning and deep learning algorithms
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capable of leveraging signals from terrestrial base stations, non-terrestrial networks such as LEO satellite, and complementary on-board sensors. Specifically, it will: To design reconfigurable airborne