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the following conditions: OBJECTIVES | FUNCTIONS This project aims to design methods that make distributed training of multimodal models more efficient. The scholarship holder will examine how the architecture
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has knowledge of current civil and coastal engineering practices, as well as familiarity or expertise within one or more of the following technical areas: Computational wind, wave and surge modeling
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 2 months ago
with experience. • Demonstrated research experience in Modelling and Simulation (M&S) and decision support analytics, stakeholder engagement and an active research agenda evidenced by research, supported
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; • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge of modelling or simulation. 5. EVALUATION OF APPLICATIONS AND
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acoustic metamaterial solutions, including porous materials (porous concrete); - support in testing tools and numerical models for predicting the performance of acoustic metamaterials; - development
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Responsibilities: Conduct experiments, simulations, and modeling as part of the research activities, and regularly present your results to the group. Contribute to laboratory management, mentor undergraduate and
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Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0247.pdf CALL FOR GRANT APPLICATIONS (AE2026-0247) INESC TEC is now accepting grant applications to award 1 Research Grant (BI) within
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on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Paulino Maria Freitas Teixeira Effective Members: Luís Miguel Peres Lopes, Fátima Teresa Castelo Assunção Sol Murta Alternate Members: Tiago
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System Model, vesion 3 (NorESM3), and a central satellite dataset for EEI is from the Clouds and the Earth’s Radiant Energy System (CERES). The specific tasks intended for the PhD fellow are to (i) Analyze
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repair on RNA-DNA hybrids of R-loops using computational modeling and molecular dynamics simulation along with various types of AI tools and machine learning approaches. Temporary Expertise in