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. XV produces a very rich 4D dataset (3 spatial dimensions + time), showing lung expansion and contraction, and we are working on understanding the best methods for interpreting this data. The successful
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project (www.bigdatpol.com ), we are looking for a doctoral researcher with a strong interest in AI-driven analysis, modelling and decision support. About the project Crime and security constitute a
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in Urban Informatics & Smart Cities and Doctor of Philosophy. LSGI has a very strong research programme that encompasses research activities in the areas of urban informatics, spatial big data
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side by side with private companies and actors from the healthcare sector. Several key infrastructure facilities are available, including specialized laboratories for spatial omics, mass spectrometry, flow
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS), developed by NASA’s Global Modeling and Assimilation Office
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simulation concepts with experience in wildfire modeling and loss assessment and regional planning of communities at the wildland-urban interface (WUI). Successful candidates will contribute to the development
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or computational methods (e.g., remote sensing, spatial analysis, systems or integrated assessment modelling) applied to sustainability. Candidates from other methodological areas with clear environmental and
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interdisciplinary collaboration, in addition to their own specialty. Skills and knowledge related to data handling, such as the acquisition, analysis, and modeling of observational data, are highly desirable. 2
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Is the Job related to staff position within a Research Infrastructure? No Offer Description We seek a PhD-holding research enthusiast, with an interest in developing high-impact research modeling
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shift a critical part of the spatial and photophysical information into the temporal domain, in order to drastically reduce the number of photons and the acquisition time required for image reconstruction