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Field
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methods for creating 3D models from sensor data, which are used in many applications, for example 3D maps for human navigation, mapping and localization for autonomous cars and other vehicles. We develop
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has strong affinity with aerospace & security and experience in radar chip architecture and demonstrator building. What you will do join a team researching wireless systems and algorithms. research
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in the development and prototyping of radar and optical tracking systems, neuromorphic sensor systems, radar transponders, and advanced sensor fusion technologies apply AI/ML to improve detection and
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government agencies (OGAs). As part of your routine tasks, you may be required to: Assist in the development and prototyping of radar and optical tracking systems, neuromorphic sensor systems, radar
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for failure, complex engineered systems, aerospace engineering, sensors, and flight operations. The following research areas are of particular interest: Joint human/clinician/automation system architectures
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algorithms using LWIR (thermal) imaging for UAVs operating under degraded visual conditions, such as low illumination, smoke, fog, and texture-sparse environments. The Research Engineer will design and
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Odometry (LIO), Visual-Inertial Odometry (VIO), and multi-sensor fusion for UAVs and other agile platforms. The Research Fellow will develop high-performance, robust estimation algorithms that operate
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Description Are you curious how Deep Learning and Online Learning can be effectively combined to create new learning paradigms? Job description Online learning algorithms achieve robustness often at the expense
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subsurface physical measurements, including Electrical Resistivity Tomography (ERT), moisture and permeability sensing, ultrasonic testing and potential mapping. By means of innovative algorithms you will
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, including cellular and Wi-Fi networks, in order to meet the requirements of emerging critical applications. In this context, intelligent embedded devices (augmented cameras, connected sensors) generate