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crop monitoring and decision-support systems for Controlled Environment Agriculture (CEA). This project focuses on the development, validation, and integration of non-destructive plant sensing
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crop monitoring and decision-support systems for Controlled Environment Agriculture (CEA). This project focuses on the development, validation, and integration of non-destructive plant sensing
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The successful candidate will contribute to the development of a new generation of 3D-printed biomimetic materials designed to model the human intestine in vitro, as part of the BAM-INT project. The project aims
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less). In the ANR/CEA-funded BrainSync collaborative project, we are interested in characterizing the neural representations of uncertainty6–8 and value that emerge from learning and guide decisions. Our
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collaboration with CEA-Leti, Lynred, and other partners. The candidate will also be involved in the performance characterization and ground calibration of Near- and Short-Wavelength Infrared (NIR–SWIR) detectors