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several underwater robotics deployments across Cumbria; therefore, it is expected that the candidate will be based at the University of Manchester’s RAICo One facility (https://hotrobotics.co.uk/facilities
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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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mutual agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen
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fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties
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fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I projects. Duties
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machine data analytics to new harvesting system designs. The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ), a world leading centre for
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, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I
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combining multi-source, remotely-sensed data streams towards improved biomass, carbon-pool sequestration, multilayer fuel load, mapping key fuel variables and fuel models through data fusion that can be
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performance, detect artefacts, and ensure scientific rigor Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis Ready to work with time‑series data, sensor fusion
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of the position is the use and extension of the TU Delft Astrodynamics Toolbox (Tudat) open-source astrodynamics toolbox for state estimation and orbit/parameter determination, enabling rigorous fusion