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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
. Description: This project will develop a multimodal artificial intelligence framework to characterize and predict dynamic changes in forest structure, aboveground biomass, and carbon storage under hydroclimatic
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implementation of the College’s AI-integrated curriculum, including Applied Machine Learning for Business, AI Strategy, and Generative AI prototyping. Incorporate appropriate applications of predictive modeling
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experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process signals to reaction behaviour, progressing from controlled
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these approaches to advance in vitro and ex vivo experimental models relevant to pharmaceutical performance assessment is desirable, particularly methods that support mechanistic understanding and predictive
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, clinical, and regulatory factors affecting financial performance Build and apply predictive models to support strategic decisions Perform activity-based financial analyses to inform operations and
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, clinical, and regulatory factors affecting financial performance Build and apply predictive models to support strategic decisions Perform activity-based financial analyses to inform operations and
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-driven mathematical modeling in a transdiagnostic clinical cohort. https://impact-mh.org/awardees/impact-mh/ IMPACT-Y is collecting repeated measures from approximately 2,400 individuals across multiple
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Research Studentships (for students of a Master or Integrated Master students) - (BL139/2026-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 17 days agoan existing combined ray-tracing optical and 1D steady-state thermal model, with a model of a photoreactor (interaction of radiation with a participating medium) to predict and optimize the system's overall
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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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behaviour for system monitoring, state estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate