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and ambiguity function processing Familiarity with time-, frequency-, and amplitude/phase-difference of arrival for geolocation Understanding of adaptive signal processing methods and techniques (Kalman
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and ambiguity function processing Familiarity with time-, frequency-, and amplitude/phase-difference of arrival for geolocation Understanding of adaptive signal processing methods and techniques (Kalman
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develop quantitative methods to estimate effects on infrastructure degradation, maintenance needs, operational risk, punctuality and costs. The aim is to develop and validate a practical, transparent
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other components. The PhD candidate will link TrainGate detections and early warnings with maintenance, incident, operational and cost data and develop quantitative methods to estimate effects
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a focus on AI, academic writing, and human-computer interaction. This includes the study of writing conventions within scholarly communities and how these shape the work produced. Job description The
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implications. BUILD AI: Develop the next generation of AI methods, models, systems, tools and technologies, and the engineering and computational foundations that enable them. We welcome researchers whose
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Facilities Planning and Development liaison with specific departments. Leverages the understanding of construction, project deactivation, and activation to assist in solving problems, estimating costs, and
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software systems that process hydrographic data from satellite, lidar, and other emerging survey methods. Build robust, modular, and well-documented code bases for point-cloud processing, sea-surface and
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College of Computer Sciences, Mills (Mills College at Northeastern), CSSH (College of Social Sciences and Humanities), CAMD (College of Arts, Media and Design), COS (College of Science), and Law (School
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capabilities, limitations, behaviour, impacts and implications. BUILD AI: Develop the next generation of AI methods, models, systems, tools and technologies, and the engineering and computational foundations