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/algorithms for payload data products, image processing and optical payload data compression. Contribution to mission performance assessment and to data products quality monitoring and improvement. You are
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model pre-training and multimodal adaptation to architectures and compression for edge deployment while targeting real-world validation in domains like HealthTech, smart industry, and autonomous mobility
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energy consumption, and 70% of heating is still met by fossil fuels[[1]](#ftn1). Heat pumps are a key enabling technology for decarbonization, but conventional vapor-compression systems face significant
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employed on the FIND program covering topics from foundation model pre-training and multimodal adaptation to architectures and compression for edge deployment while targeting real-world validation in domains
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. Investigate and implement optimum sampling strategies, including sparse and compressed sampling techniques. Explore the applicability of neural networks in clinical workflows, ensuring solutions are practical
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mentoring of members of our research network, as well as outreach activities, all generally related to your research topic though not exclusively. You are encouraged to visit the ESA website: https