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performance, and data and product quality. You will join the section in charge of sensor performance, data quality, algorithm development, and calibration and validation (Cal/Val) for the ESA EO missions
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of platform data handling and payload data processing equipment; the implementation, inference, verification and validation of algorithms** on data processing hardware platforms for space applications** in
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of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms
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algorithms in front-ends, wireline and wireless interfaces, converters, FPGAs, microprocessors, microcontrollers and IP cores throughout all project phases; analysing and profiling the implementation
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of information on all the minerals found on the Moon, Mars and in meteorites, and the Machine Learning (ML) software that combines deep learning multi-class and multi-label classification algorithms
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knowledge of system security engineering, crypto algorithms and certification processes. Good knowledge of technology development and maturation processes relevant to PRS, security and crypto devices
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identify those with the highest potential for early adoption in space engineering; translate theoretical advances into algorithmic innovations, design principles and prototype tools that can be integrated
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, development and implementation of digital signal processing algorithms and data processing strategies for microwave radiometers; conducting laboratory activities to validate architectural concepts, operating
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measures; monitoring the satellite schedule, ensuring coherence between the overall planning and the platform and instrument development and verification activities, with the objective of continuously
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, algorithms and products: undertaking advanced research activities addressing major observational gaps and scientific priorities in EO. The research will cover a wide range of innovative topics and missions