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a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and
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. Participate in or lead special projects such as assessment of the supplier base, program cost reduction initiatives, and company-wide audits. Deliver ORNL’s mission by aligning behaviors, priorities, and
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, work together, and measure success. Basic Qualifications: A PhD in an Engineering discipline, Computer Science, or a related field At least two years of relevant experience Expertise in systems dynamics
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. in Hydrology, Earth system science, Water resources engineering, Computational sciences, Computer sciences or a related field completed within the last 5 years (or expected soon). Demonstrated
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drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing. About ORNL: As a U.S. Department of Energy (DOE
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, etc.) composites. Hands-on experience with lab scale polymer synthesis and analysis. Preferred Qualifications: Experience with computer modelling systems such as finite element analysis (FEA
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Duties/Responsibilities: Conceptualize, design, develop and improve plasma-based enrichment technology related components using 3D Computer Aided Design (CAD) software (SolidWorks). Create 2D drawings
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of Critical Minerals and Energy Innovation and the Office of Innovation, Affordability and Consumer Choice—which includes the Building Technologies Office (BTO), the Federal Energy Management Program
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Requisition Id 16946 Overview: We are seeking a Computational Instrument Scientist who will focus on developing software analysis tools for the powder diffraction instruments. This position
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Requisition Id 16923 Overview: The Field Intelligence Operations Division invites candidates to apply to join the team as a Senior High Performance Computing (HPC) Engineer for Classified Computing