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of retrieval-augmented generation (RAG) for designing embedded systems without the need for retraining Investigation of the use of LLMs to support temporal and spatial resource planning problems Comparison with
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of concern in the UK emerge, spread, and unequally affect different individuals and population groups. Outcomes of this research will help advance the development of more equitable, spatial data-driven
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range and optical laser pulses, combining these with near-field methods for improved spatial resolution. To better understand our results, we develop simple theoretical models. The insights gained
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to cutting-edge research on spatial reasoning, semantic technologies, and interdisciplinary AI for geosciences and geography. Where to apply Website https://www.academictransfer.com/en/jobs/356998/phd-position
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air quality and emissions measurement instrumentation and systems (e.g., PTR-MS, GC-MS). Strong expertise in advanced statistical, numerical, and spatial data analysis for large-scale datasets is
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 18 hours ago
downstream tasks such as retrieving aerosol information in the presence of clouds, and utilizing multi-pixel spatial and temporal approaches Field of Science: Earth Science Advisors: Patricia Castellanos
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of Religion at the Department for the Study of Religions in the position of a postdoctoral researcher focusing on spatial analyses in Geographic Information Systems (GIS) within the Czech Science Foundation
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Dipartimento di Scienze Biomediche Sperimentali e Cliniche "Mario Serio" - Università degli Studi di Firenze | Italy | 3 days ago
• Stem cell analysis in cancer • 2D and 2D complex in vitro cell and organoid cultures • Spatial and Liquid biopsy processing and analysis • Cell engineering • Bioinformatics and data analysis Where
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learning (ML)) and emerging data types (electronic health records (EHR), biobanks and disease registries, and next-generation genomics including single-cell and spatial omics); communicates clearly with
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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence