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Agriculture (CEA) Engineering Lab as a Postdoctoral Research Associate. The candidate will primarily work in one or more of the following areas: computer vision, AI-driven automation, and/or robotics
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new photo-crosslinkable chemical functions… In close interaction with the team but also the partner specializing in the characterization of 2D self-assemblies by STM, he/she will then be a driving force
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quite new within the field of computer vision. The neuromorphic design allows for a much higher acquisition frequency but most and foremost much longer acquisition time spans. This makes it ideal
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