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, coated-paper characterization, and performance evaluation of paper-based packaging materials. The position may also involve developing sustainable alternatives to conventional plastic coatings and
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large-scale field experimentation to connect root system architecture to whole-plant performance and ecosystem outcomes. We seek creative, collaborative scientists to join the following track: Field
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Requirements Required experience includes: Significant experience implementing high performance sensor fusion and state estimation algorithms in real systems using, e.g., Kalman filters, particle filters, etc
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preprocessing, postprocessing, automated testing, calibration, and visualization workflows; and conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and
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candidate will conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and troubleshooting. The position requires strong scientific programming and software
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and teachers use AI-generated feedback to support science learning. The initial appointment is for one year, with the possibility of renewal for a second year based on performance and funding. The
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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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of this work is aimed at advancing next-generation and sustainable metal-sulfur batteries through the development of high-performance electrode/electrolyte materials based on earth-abundant elements
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large-scale field experimentation to connect root system architecture to whole-plant performance and ecosystem outcomes. We seek creative, collaborative scientists to join the following track
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structured representations of 3D anatomy; integrating these representations with AI reasoning models; evaluating performance on radiation therapy planning tasks against text-only and vision-only baselines