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: Collaborative Localization and Sensor Integration This PhD position will focus on developing and integrating methods for collaborative localization and sensor fusion in the ABBA USV system. The goal is to enable
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Professor Martijn Wubs (mwubs@dtu.dk ), Dr. Jake Iles-Smith (jake.iles-smith@sheffield.ac.uk ) You can read more about the Department of Electrical and Photonics Engineering at https://electro.dtu.dk
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information. The candidate will be responsible for developing detailed simulation models of both robots, sensors, and components to be assembled. In addition, the candidate should develop robust manipulation
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with Danish and international industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as
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2-year postdoctoral position working on cutting-edge research in IoT sensor networks for critical infrastructure monitoring and mission-critical control systems. Expected start date and duration of
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centers on developing a framework for controlling a robotic arm equipped with a cardiac ultrasound probe and complementary sensors. The goal is to enable autonomous placement of the probe on predefined
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, iOS/Swift) sensor collection (mobile phone sensing, wearables, activity trackers) web-based development (React / JavaScript) RESTful server infrastructure (Spring Boot, Kotlin, Java, Linux) data
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the development and testing of advanced control strategies for building energy systems. The work is closely connected to a real-world pilot case, where measured sensor data will be used for model calibration
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well as psychophysics; Performing playback studies and analysing behavioural response data; Calibration of sensors; and Participate in other projects on echolocation and hearing in odontocetes. We seek a candidate with a
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: Application (cover letter) Vision for teaching and research for the tenure track period CV including employment history, list of publications, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio