253 data "https:" "https:" "https:" "https:" "Linköping University" "IFM" positions at Oak Ridge National Laboratory
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Requisition Id 16090 Overview: We are seeking a Geospatial Software Engineer. This position resides in the Remote Sensing and Environmental Informatics Group in the Earth System Informatics and Data
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the supplier to establish the SAP Business Network relationship. Additional responsibilities include compliance, risk mitigation, and supplier data governance by managing questionnaires, supporting supplier
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information in required formats. You will also apply new software and processes to improve design efficiency. This position reports to the Design Services Group Leader in the NTD, NScD at Oak Ridge National
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Requisition Id 16186 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking
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array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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, instrumentation, and collecting and analyzing the data. This position resides in the Building Envelope Materials Research (BEMR) group in the Building Materials, Systems, and Integration S, Building section and
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challenges facing the nation. We invite applications for a Principal Engineer for Geospatial Computing Infrastructure. This dynamic and visionary leader will launch and build a next-generation Geospatial Data
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include: Information and Communication Management: Efficiently manage information flow and communications, ensuring alignment with the Division Administrative Assistant and other administrative staff
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(MiC) Section in the Computer Science and Mathematics (CSM) Division. The MiC Section creates the mathematics and algorithms that harness machines, ideas, and data, to enable far reaching scientific