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population-level neural interactions. Prior work has emphasized rate-based codes due to their relative simplicity; our approach will explicitly extend these models to capture temporal structure within spike
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approaches. Machine Learning in Geotechnical Engineering: Utilising data-driven approaches to model and predict soil-structure interactions or other complex geotechnical problems. Reliability-Based
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the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We
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to the islands of the Southwest Indian Ocean for co-construction workshops. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR3365-JEACAM0-004/Default.aspx Work Location(s) Number of offers
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of modern AI/LLM-based solutions, including: a. Prompt engineering and chat-style interactions. b. Use of embeddings and vector or semantic search to ground model responses. c. Designing and implementing
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within the themes developed by the following three teams: • “Geomaterials and Sustainable Construction”: Research focuses on natural and anthropogenic geomaterials (soils, raw and bio-based materials
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: enforcing that corrected positions comply with known map constraints, e.g., restricting ground vehicles to the Earth’s surface. Satellite homogeneity: for example, assuming uniform satellite behavior
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program, visit our homepage: https://sdc.wsu.edu/ . The curriculum is a four-year professional program leading to a Bachelor of Science in Construction Management. Upon completion of prerequisite courses
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, R., & Herrmann, H. J. (2016). Particle-Fluid-Structure Interaction for Debris Flow Impact on Flexible Barriers. Computer-Aided Civil and Infrastructure Engineering, 31(5), 323–333. https://doi.org
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. This position will also represent NNIC professionally in interactions with federal, state, and local agencies, as well as non-profit partners. This position will also document all expenditures, assist