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Description The PhD will take place in a top-tier interdisciplinary environment, combining expertise in computational AI modeling (LSCP / ENS-Paris) with access to cutting-edge clinical neurophysiological
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. Minimum Qualifications Previous modeling experience Comfortability posing nude in a public setting Preferred Qualifications Nude modeling experience at other Art schools Additional Application
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281 0908 Description Community Resilience Metrics The Community Resilience Program ( https://www.nist.gov/community-resilience) is developing science-based tools to assess resilience and support
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Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a Data and Computing Technician to build and maintain the data and
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Geospatial Researcher to develop and advance a research portfolio in geospatial modeling and characterization of new electricity generation, impacts of large loads, and infrastructure requirements to
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)/Ernest Mario School of Pharmacy, Rutgers University. These positions are funded by research grants from the National Institutes of Health ( NIH ). Dr. Zhu’s research team focuses on modeling studies
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Max Planck Institute for Biological Cybernetics ( https://www.kyb.tuebingen.mpg.de/en ) is a world-renowned research hub for computational modeling and cognitive neuroscience. This unique research
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, and photogrammetric data Design procedural modeling frameworks for district- and campus-scale built environments Produce interoperable assets (e.g., 3D Tiles, glTF, FBX) supporting downstream simulation
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
. Particular emphasis will be placed on understanding tidal and seasonal variability in basal melt rates and ocean circulation pathways. Research opportunities include analyzing observational and modeling
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: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural