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: Transparency. As part of this doctoral project, you will develop novel knowledge representation techniques, algorithms for human-in-the-loop optimization, and interactive tools that combine graphical and natural
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of the internship: Machine Learning for recognition of planetary materials from multispectral datasets You are sought to contribute to the ongoing development of Machine Learning algorithms for recognition
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scientific standards, while offering subject matter expertise to guide ML-based algorithms development. Key responsibilities include expanding, curating and quality-assessing multi-spectral archives within
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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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missions in the domains of Earth observation, science, and resilience, navigation and connectivity. The Section carries out technological research and development, harmonisation and standardisation in
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Database (AMD). SMT is responsible for maintaining, assuring the quality of, and further developing the AMD. Before the AMD was introduced, medical data were stored in a SQL Server database. Some of these