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: The Learning Variability Network Exchange (LEVANTE) is an open-source, online assessment platform that is designed to provide a framework for measuring developmental variability across cultures (http
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to the fundamentals of visual storytelling through a project-based learning experience. Students explore how films are planned, shot, and edited, learning key elements such as narrative structure, shot composition
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and pre‑processing of point clouds obtained by LiDAR and drone-based photogrammetry in olive groves; (ii) Quality verification, artefact removal, and data normalization. 2. Extraction of structural tree
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environment regarding both the staff and student body composition. Please visit the website at https://www.polyu.edu.hk/beee/for further information about the Department. BEEE is seeking internationally
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participation. The Deliberation Lab is an open-science platform that enables researchers to conduct large-scale experiments in small-group deliberation, the kind of structured conversation through which people
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California State University, Los Angeles | Los Angeles, California | United States | about 7 hours ago
literature, creative writing, rhetoric and composition, interdisciplinary cultural analysis, and the history and structure of the English language. Drawing on the richness of L.A.’s geographical and cultural
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with potential extension to more complex structures and environments. The ideal candidate will have experience with some of the methods listed below (see Group overview), ultrahigh vacuum (UHV), and a
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-research (HDR) candidates. RMIT is particularly interested in candidates with research expertise in one or more of the following areas: Propulsion Aerodynamics Aerospace materials and structures Avionics
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surgery) in which neural structures are at risk. To complement the hands-on training, the fellow will learn the IONM background through participation in regular tutorials, seminars and from studying primary
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; Incorporation of protein structural information based on AlphaFold2 structural models; Training and validation of deep learning models for multiple targets; Writing and publication of results. V. Composition