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. This includes modelling, data analysis and algorithmic development, as well as experimental validation of models and algorithms. It contributes to the performance assessment of space missions. More specifically
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implement a software engine that automates fault model generation, evaluation, and management. Design and implement advanced test generation methodologies (e.g., test algorithms, Design-for-Test (DfT), Memory
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algorithms that explicitly account for noise and limited precision inherent to photonic systems, and stronger coupling to real-world application layers through system-level demonstrators. Therefore, within
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algorithmic breakthroughs that enable foundation models to run predictably and efficiently on embedded processors and accelerators. FIND is a research program funded by the Dutch government and industry
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are not limited to): Machine learning and artificial intelligence applied to astronomical data Advanced statistical and probabilistic inference methods Scalable algorithms for the analysis of large
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose between the following topics: 1) Topic 1: Machine Learning for recognition of planetary materials