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Recognition Machine Learning and Pattern Recognition are subareas of AI aimed at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include
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at the development of algorithms and models capable of learning from data, recognizing patterns, and signal analysis. Tasks include image and speech recognition, recommendation systems, and predictive analytics
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will also collaborate with project partners in other European institutions. Our team has developed and deployed AI algorithms for recognising the sounds and images of Europe’s wildlife. In this project
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related to the position: AOCS subsystem architecture, design, testing and verification (including control design algorithms, analysis and simulation) Pointing error engineering Smallsat and nanosat AOCS
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profile, experience and research proposal. Planning and autonomy: The objective is to study the state of the art of planning algorithms that would support onboard autonomous operations of a rover system on
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of the Agency. Potential areas include, but are not limited to: algorithmic engineering and high-performance computing; design and analysis of algorithms and data structures; discrete optimisation and operations