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-0831 Description of Work: At the Digital Twin Innovation Hub, we are developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model that represents
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
/ML) to help improve outcomes in vulnerable and underserved populations. We currently have a successful and growing ML predictive analytics team consisting of ML researchers, clinicians, informaticists
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systems whose near-field radiative capabilities allow for focusing and localizing EM energy. Predictive models, based on EM simulations and extensive measurement campaigns, will also be developed
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management goals. Survey market and demographic trends and analyze internally and externally produced data. Build and present sophisticated models to predict and assess the likelihood of various outcomes
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software, including design tools, CAD drafting, information systems, construction management software, computerized maintenance management systems (CMMS), hydraulic modeling, Bluebeam, and the full Microsoft
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technologies to discover how biomolecules and organisms function and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. In the Biofunctional Nanotherapeutics Lab
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highly desirable) AI/ML for predictive modeling and inverse design of nanomaterials Autonomous laboratories for materials synthesis and characterization Generative models, reinforcement learning, and agent
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. Implements program analytics software tools, and runs predictive analysis and forecasting models in support of organizational goals. Uses of Python to conduct data analysis. Effectively translates data
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, early detection of degradation, and residual life prediction. The program integrates physical modeling, machine learning, and data fusion techniques to optimize predictive maintenance, reduce operating
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Montpellier, Languedoc Roussillon | France | about 2 months ago
. Understand and predict the links between the structure of thermoplastic polymer-based materials, studied on different scales, and their function during production, use, and post-use cycles to quantify