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for high-speed, real-time implementation. Designing and optimizing experimental setups to achieve low-noise, high-rate performance. Publishing results in high-impact journals and presenting at international
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF
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optimization Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants, animals, humans, and
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networks) optimized for low-frequency spectroscopic inputs. • Integrate spectroscopic data with complementary characterization techniques, including scattering methods, using multivariate and data-fusion