324 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Oak Ridge National Laboratory in United States
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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computed tomography (CT) reconstruction, including sparse-view and limited-angle algorithms, and the application of advanced machine learning (ML) and computational imaging methods to scientific and
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against program requirements, proactively identifying areas where processes may need improvement or innovation and monitoring for indications of process drift. Deliver ORNL’s mission by aligning actions
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industrial experience or an equivalent combination of education and relevant electrical experience. Completion of an approved electrical apprenticeship program. Preferred Qualifications: Knowledge of drawings
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the infrastructure that underpins the SNS Integrated Control System (ICS). The SNS ICS is a distributed control system based on the Experimental Physics and Industrial Control System (EPICS). It depends on reliable
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Accelerator Specialist Training Program. Provides work direction and supervision to operations personnel. May provide work direction to technicians during troubleshooting maintenance and repair cycles. Acts as
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Program requirements to maintain accountability and integrity of ORNL locking systems as well as compliance with applicable DOE Orders. This position resides in the Physical Security Team in the Security
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Requisition Id 16124 Overview: We are seeking a Waste Operations Technician who will focus on facilitating physical management and disposal of hazardous, radioactive, and mixed waste from
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Ridge National Laboratory. The SDS Group consists of researchers focused on delivering computational solutions for the study of complex engineered systems using scalable architecture-aware algorithms
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Qualifications: An MS in computer science, mathematics, or a related field completed within the last 5 years. A BS degree and at least 2 years of relevant research experience will also be considered. Familiarity