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engineering, chemical engineering, or a related field completed within the last five years Quantitative and analytical research background which can be applied to conduct research analysis on advanced
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, qualification/certification, additive manufacturing feedstocks, carbon fiber and composites, caron-carbon materials, machining, data analytics, metrology, flexible automation and systems research. Successful
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and nuclear facility operations, as well as more fundamental physics research. The research involves development and testing of novel data analytics processes and specialized methods to improve
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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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implementing effective public information activities. The successful candidate will have excellent written and interpersonal skills, familiarity with word-processing and presentation software, and working
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scientific domain and knowledge of high performance and quantum computing and scalable data analytics and/or deep learning Preferred Qualifications: Qualified candidates should have demonstrated management
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, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Develop and apply AI/ML methods to integrate heterogeneous geospatial, remote-sensing, hydrological
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Research Group (IARG) at Oak Ridge National Laboratory (ORNL). The successful candidate will develop and deploy optical spectroscopy-based analytical methods, automated sampling approaches, and integrated
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requirements applicable to classified or highly regulated computing environments, including NIST, RMF, and DISA STIGs. Eligibility for access to Sensitive or Special Access Program information. Current Top
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-physical systems to create secure and resilient embedded devices. Work collaboratively with R&D staff in cybersecurity, cyber-physical security, advanced manufacturing, sensing, and data analytics to achieve