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Field
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research and innovation to support education and sustainable development, UM6P boasts a state-of-the-art campus and infrastructure. It has built a robust academic and research network and is committed
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Safety, Reliability and Resilience of AI-based Robotics. The successful candidate will have the opportunity to engage with the RIG network, collaborate with academic and industrial partners, and contribute
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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
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feedback, support career growth, including networking opportunities, conference participation, and professional visibility, and offer mentorship in scientific writing, manuscript development and grant
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to supporting the Postdoctoral Associate’s career advancement. The PI will provide structured mentorship, regular feedback, support career growth, including networking opportunities, conference participation, and
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networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning for inverse
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into mobility and energy systems. We improve the efficiency, sustainability and economics of electric vehicles by optimizing and accelerating the integration of components up to complex mobility systems through