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bottlenecks in clinical radiology workflows through observations, structured workflow mapping, and close collaboration with clinical staff. Design, develop, and evaluate AI-based and automated workflow
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for Mathematics and Computer Science (CWI). QuSoft’s mission is to develop new protocols, algorithms and applications that can be run on small to full-scale prototypes of a quantum computer. QuSoft has over 30 full
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? Join our innovative project where simulated data and real hardware testing create innovative solutions. The work builds on our recent results . You will be at the forefront of developing advanced
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where simulated data and real hardware testing create innovative solutions. The work builds on our recent results . You will be at the forefront of developing advanced perception systems, using deep
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scheduling to help make offshore wind farms a reality. Job description This post-doctoral position focuses on developing fundamental algorithmic advances for dynamic planning and scheduling in multi-objective
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planning, and explainable decision support. The PhD will operate across two worlds: The University of Twente — advancing scientific models, algorithms, and hybrid AI methodologies; Thales (the industrial
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop human-centred RL algorithms to shape
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participants of the Netherlands Twin Register, integrating genetic and psychological data where relevant. Beyond algorithm development, you will also address methodological challenges such as data quality, bias
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will develop novel and privacy-preserving algorithms that allow distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally
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algorithms developed for the mission. The aim of this project is to develop and test enhanced L2 algorithms for the four hydrological parameters of HydroGNSS, leveraging a combination of machine learning