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lead and support multimodal data collection, data integration, predictive modeling, and digital intervention development. The position involves close collaboration with faculty, clinical partners
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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
mechanisms associated with immune phenotypes, as well as development and application of machine-learning and statistical models for classification, prediction, feature selection, dimensionality reduction
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-derived cells and single-cell perturb sequencing to establish foundational models to predict the effects of potential drug candidates on cardiovascular diseases. By combining genome engineering, functional
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 20 hours ago
simulation tools for predicting module coalignment performance. The participant may also engage in commissioning activities for X-ray detectors and participate in operating a hard X-ray reflectometer
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prediction models Demonstrated ability in program management, collaboration, and stakeholder engagement Position Sponsorship Eligibility: Not eligible for work visa sponsorship About Department of Crop and
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between moisture uptake, glass transition temperature (Tg), and material performance, Development of predictive durability and service-life models for infrastructure applications including rehabilitation
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 2 months ago
substantial intellectual independence and opportunities to collaborate closely with machine learning scientists developing predictive models of cellular function. Machine learning experience is not required
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substantial intellectual independence and opportunities to collaborate closely with machine learning scientists developing predictive models of cellular function. Machine learning experience is not required
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energy systems and demand response; process and energy system modeling; optimization and model predictive control; and applications of artificial intelligence and machine learning to energy systems
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and AI-based approaches, including predictive modeling, stratification, explainable AI, and integrative multimodal analysis. The scholar will have opportunities to lead first-author publications