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electromagnetics applications. Primary responsibilities in this role include Leading development and implement state estimation and fusion algorithms for RF and robotic systems Lead implementation of
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hydrological and related datasets • Apply machine learning and AI techniques to interpret water system dynamics • Develop and implement algorithms using MATLAB and other programming languages (e.g
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Position Summary The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io > on research projects related to kinetic equation and its related multiscale model reduction
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year, with the possibility of renewal for more years, subject to the performance and the availability of funding. The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io
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Computational and Method Development Contribute to development and testing of algorithms for EAD spectral interpretation and annotation Integrate metabolomics data with statistical modeling and
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researcher to join our dynamic animal science and artificial intelligence team. The candidate will develop novel algorithms that advance the use of computer vision in precision livestock farming (PLF
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magnetohydrodynamic flows; and autonomous distributed systems. We especially welcome candidates whose work integrates physics-based modeling with data-driven methods, develops new algorithms for complex nonlinear