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troubleshooting. Strong Python skills are required for workflow automation, data processing, testing, and model orchestration. Familiarity with C or C++, APIs, dynamic-link libraries, version control, Linux
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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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Position Summary The successful candidate will work on cutting-edge research at the intersection of vehicle dynamics, control theory, and AI-enabled autonomy , with a focus on real-world deployment
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mobile robotic control systems Collaborating on development and implement estimation algorithms for time and frequency estimation Integrate estimation and control algorithms into various experimental
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power control of second-life batteries. The successful candidate will work with Dr. Huazhen Fang and other collaborators. The research aims to advance the technologies needed to repurpose retired electric
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interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
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skills. Desired Qualifications Experience with medical imaging, graph representations, or language models; familiarity with uncertainty estimation and model reliability; and experience collaborating with
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skills. Desired Qualifications Experience with medical imaging, graph representations, or language models; familiarity with uncertainty estimation and model reliability; and experience collaborating with
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> on research projects related to kinetic equation and its related multiscale model reduction, numerical method, and data-driven/machine-learning approaches, including: • Numerical simulation of kinetic
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, statistics, or a related field. Minimum Requirements Experience using chlorophyll fluorescence using PAM fluorometry, data analysis using mathematical models, and comfort with coding to control custom