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programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity for, clinical/experimental gait data from neurological populations (stroke
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and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling
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the group members. Write computer codes for the above data modalities under the guidance of the team leader. Engage in the development and testing/validation of new quantitative AI algorithms and their
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of conducting rigorous research and producing high-quality outputs. Ability to network with industry partners. Expertise in machine learning algorithms, artificial intelligence, game theory, optimization
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of executing independent research in a highly multidisciplinary team environment. Successful applicants will have expertise in health outcomes research and experience in large data analyses. Our program is a
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vision, and/or synthetic data generation for model training. Solid programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling, and post hoc support for laboratory studies and
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computational models, systems, and AI/ML tools using algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. In