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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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California State University, Northridge | Northridge, California | United States | about 20 hours ago
the right place. Learn more: https://www.csun.edu/about-csun . Major Duties Under the general supervision, the Development Analyst performs analysis, supports fundraising strategy, prepares communications
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with Infrastructure as Code, including Terraform and/or AWS CloudFormation Working knowledge of AWS operational fundamentals (IAM, networking, DNS, security groups, and multi-account governance concepts
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neural networks (CNNs) for extracting features from full-field atmospheric data Demonstrated experience coding in Python Experience modeling unsteady wind loads from atmospheric flows Experience in flight
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network that equips early-career researchers with solid theoretical foundations, advanced empirical methods, and the ability to engage across disciplines. We welcome candidates with strong academic
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Experience: Knowledge of PeopleSoft workflow rules, roles and routings, Application Engine, Component Interface and People Code development, and security role development including department tree maintenance
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. Other Requirements Workplace and Eligibility Conditions Benefits Eligible Yes Benefits at UTA We are proud to offer a comprehensive benefits package to all our employees at the University. https
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Code45127StreetLindenalleeGeofield Contact State/Province North-Rhine Westphalia City Essen Website https://www.college-uaruhr.de/ Street Lindenallee 39 Postal Code 45127 E-Mail fellowship@college-uaruhr.de Phone +49 201 183 - 6543
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Neutral Infrastructure (dfCO2), this role contributes to Program 4: Machine Learning for Carbon Performance (https://dfco2.org.au/program_4 ) that aims to advance the next‑generation AI methods to model
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, with the operation code LISBOA2030-FEDER-00816100 of Balcão dos Fundos. The project is subsidised by the Lisbon Regional Programme of FEDER and the State Budget of Fundação para a Ciência e a Tecnologia