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ensure that our systems are highly secure and reliable in the context of comprehensive digitalisation and global networking – Hereby we focus on a variety of key technologies like Distributed IT Systems
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and incoherent processing, array performance optimization, and distributed sensor network architectures. Particular attention is given to improving target detection, classification, tracking, and
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collaborative institutional advising network that is responsive to student needs and designed in accordance with best practices. Description of Duties DIRECTOR ACADEMIC ADVISING CENTER Directs the daily
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Assistant/Associate Project - Scientist Infrastructure Sensing - Civil and Environmental Engineering
construction and operational costs. The position will involve Conducting laboratory and field experiments in the area of infrastructure sensing, such as distributed fiber optic sensors and wireless sensor
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Motor Vehicle Records Check: Yes About the Department: The GMU-TV network provides a wide array of award winning educational, informational, and public affairs programming to Northern Virginia, the
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access and digital inequality, cellular and satellite connectivity, web performance and accessibility, network measurement, mobile systems, and technologies for connecting underserved populations. We are
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clinical enterprise that includes a Joint Commission-accredited tertiary care hospital and outpatient clinics, and the Mile Square Health Center network of federally qualified health centers. It also
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enterprise that includes a Joint Commission-accredited tertiary care hospital and outpatient clinics, and the Mile Square Health Center network of federally qualified health centers. It also includes
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robotics and metamaterials? Join us! This unique research opportunity revolves around the physics of distributed robotic systems, mechanical metamaterials, active matter, and embodied intelligence
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modelling tools for fibre-reinforced composites? Then consider this doctoral candidate position within LEGEND – a European doctoral network developing increased understanding of, and computational tools for