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land loss and vegetation change at high spatial resolution Work closely with remote-sensing scientists, modelers, and empiricists across DOE laboratories and universities to address project objectives
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and enthusiastic to take on problems across the software stack as we continue to solve complex national scale security problems in the areas of spatial computing. As part of our outstanding organization
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statistical mechanical theory. Collaborations with internal and external fusion efforts will be strongly encouraged. The successful candidate will be mentored and teamed with staff in the National Center
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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opportunity to work on applied spatial analytics and geospatial data modeling at scale, leveraging diverse geospatial, demographic, and remotely sensed data sources. While the role does not require independent
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Requisition Id 16689 Overview: We are seeking a Geospatial Data Architect who will focus on designing and governing data ecosystems that support spatial analytics, modeling, and operational
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, statistical methods, and computational tools. Contribute to externally sponsored research proposals, technical reports, peer-reviewed publications, invention disclosures, conference presentations, and sponsor