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sensor integration. Experience with SLAM algorithms (vision-, acoustic-, or inertial-based), state estimation (e.g. Kalman filtering, pose graph optimization), or collaborative positioning is highly valued
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team. Significant software development experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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deliver a theoretical, algorithmic, and real-time implementation framework for on-the-fly autonomy in crowds. The resulting methods will (i) adapt to unpredictable human interactions that introduce high
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duration of the PhD research. Please see the RePIM project website (https://repimnetwork.eu/recruitment ) for further information. Qualification requirements PhD stipends are allocated to individuals who
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date. Candidates must be willing to move to Denmark for the duration of the PhD research. Please see the RePIM project website (https://repimnetwork.eu/recruitment/ ) for further information
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to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a suite of
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. The PhD will be within the respiratory and critical care group (rcare) at the Department of Health Science and Technology https://vbn.aau.dk/da/organisations/respiratory-and-critical-care-r-care. Here you
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. The PhD will be within the respiratory and critical care group (rcare) at the Department of Health Science and Technology https://vbn.aau.dk/da/organisations/respiratory-and-critical-care-r-care. Here you
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to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research challenges defined by