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ESA Graduate Trainee in Advanced RF Payloads and TT&C Subsystems, On-board Processing & Technologies
architectures, data converters, programmable logic, and accelerators, you will develop Digital Signal Processing (DSP) algorithms for the processing of the communication spectrum. This includes tasks such as
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Irène Curie Fellowship No Department(s) Electrical Engineering Reference number V36.8041 Job description Are you interested in ethical AI and eager to develop solutions that address the challenges
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Differential Algorithms. This is a unique opportunity to contribute to the foundations for tomorrow’s machine learning. Your job The FoRECAST project aims to develop theory (e.g., categorical semantics and
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aggregate the data and develop the algorithms. In this project, you will conduct in-depth case studies in an ambulatory clinic. The selection of the cases can be based upon a review and/or an interview study
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for these new solution methods will be derived. This position is part of a larger research project “Discrete Decision Making under Uncertainty”, in which researchers work on developing new theory, algorithms, and
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signal processing and/or artificial intelligence algorithms. Experience with hardware description languages or modelling software. Experience with microelectronics development tool flow. You should have
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partners. The successful applicant is expected to carry out research on the algorithmic foundations of digital platforms for large-scale deliberation. The research has the potential to directly inform the
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embedded within the department Law & Markets, home of a vibrant and diverse academic community. The overarching mission of the department Law & Markets is to develop and deliver cutting-edge, high-quality
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or the “Fast replay – Cloud computing” Algorithm engineering and performance analysis platform; Support the continuous development of the Performance tools and algorithm engineering platform, in coordination
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innovative approaches to space-related R&D, including competitions, prizes, and games, as well as research aimed at fostering disruptive innovation. The team develops an expert network within academia and