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of WAAMMat (https://waammat.com/ ), gaining valuable industry experience and exposure. The student is expected to acquire the following (including but not limited to) knowledge and skills from the research in
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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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sustainable use of forests? Apply for this position to join WIFORCE Research School! Biodiversity and the role of forests in climate change are now key social issues that require more knowledge. In order to
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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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or related field Good knowledge of mineral processing and statistics Familiarity with soft‑sensor concepts and data‑driven process monitoring Understanding of ore microstructures, particle characterization
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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
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specific research Centre, of which there are twelve totals. Information regarding the research Centres, their activities and production are available at http://www.fbk.eu/research-centers . In particular