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, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer Vision Parallel & Distributed Computing Control
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(including control design algorithms, analysis and simulation) Pointing error engineering Smallsat and nanosat AOCS Advanced control, optimisation and estimation techniques Artificial intelligence and machine
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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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optimisation, uncertainty quantification, multi-objective optimisation, and evolutionary algorithms. The successful applicant will join the STAR Lab at the Faculty of Engineering, Mathematics and Computer
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, compression; use of microelectronics devices (including COTS) implementation, inference, verification and validation of algorithms ** on processing HW platforms for space applications* in close collaboration
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, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer Vision Parallel & Distributed Computing Control
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contributing to the technical evaluation of EO mission proposals and to the selection of missions for implementation; supervising geophysical algorithm research and development in support of EO missions; leading
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search and detection algorithms. Part of this work has already been performed by a postdoc leaving after 2 years and Sybren Drijfhout. You will work with python scripts that were developed in the project
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and digital technology, on how to use and develop these in relation to society and ethical issues. We develop algorithms, prototypes and development methodologies in order to understand individual