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requirements should be implemented; design and propose architecture and operations concepts and propose recommendations on the most promising technologies that should be leveraged; prototype software
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trustworthy AI for science. At Eindhoven University of Technology (TU/e), you will contribute to the project’s core technical components: scientific data orchestration and knowledge graphs architecture and
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hyperspectral — to support early warning, strategic situational awareness and the monitoring of emerging risks. A key focus of the fellowship will be the development of explainable AI architectures capable not
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