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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 7 days ago
and extensible framework that supports dynamic composition of workload parsers, workload-management algorithms, predictive models, and performance metrics collectors through declarative configuration
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—these approaches can recover unmeasured near-wall structures, improve subgrid-scale modelling, and enhance predictive accuracy. Possible project directions include: 1. Reconstructing near-wall velocity fields from
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NIST only participates in the February and August reviews. The fire modeling community is actively working to develop the tools needed to quantitatively predict material and product flammability
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 24 hours ago
—including translation efficiency prediction models, RNA secondary structure analysis, codon-pair and harmonization algorithms, and immunogenicity risk prediction tools—to help guide experimental design and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 23 hours ago
AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models to uncover how gene expression and mechanical forces interact
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. Other data sources could be compiled to create climate analogues. 2) Develop a predictive model forecasting the future impacts of climate change on cardiorespiratory fitness in children and adolescents 3
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scraping Training and evaluating ML models Connecting real-time streamed data with predictive models Duties Typical job duties for this position will focus on tasks related to: Collecting historical data
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model introduced previously for carburizing will be further developed in this study. In this model, carbon diffusion is predicted using Fick's law and finite difference scheme. A source term accounts for
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temperature with ribbon density as the main product quality attribute. Additionally, the computational modelling approach will be exploited as an aiding tool to predict the product quality and eventually
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling