253 data "https:" "https:" "https:" "https:" "Linköping University" "IFM" positions at Oak Ridge National Laboratory
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Requisition Id 16059 Overview: We are seeking an Electrical or Computer Engineer who will focus on software-defined radio (SDR) system development, integration, and deployment. This position
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of the infrastructure. Proactively monitor, test, collect and analyze system performance statistical data to improve quality of the network environment. Diagnose and resolve complex configuration and troubleshooting
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direction, mature technologies from lab to field, and integrate sensors, data pipelines, and analytics into operational environments. This position requires deep practical experience in power engineering and
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and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
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infrastructure, ensuring smooth data communication by managing and configuring network devices like routers, switches, firewalls, and wireless access points, monitoring network performance, identifying and
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compliant, mission-focused, and employee-centered workplace. Major Duties/Responsibilities: Workforce Data & Reporting: Generate and analyze workforce data and standard HR reports to support HR decision
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records, information systems, and process improvement. This role focuses on modern records practices, including electronic records management systems, digitization initiatives, system integrations, and
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workflows, and data infrastructure to accelerate discovery in Populus genomics and the characterization of Populus-associated microbial communities. The successful candidate will design and implement scalable
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, supported by: Multiscale modeling (material (molecular) → process → manufacturing (scale up)) Data-informed experimentation Selective use of AI/ML and big-data techniques where they add real value
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objectives into robust pipelines, automate job orchestration and data movement, and optimize end-to-end workflow performance on large-scale Linux-based HPC environments and hybrid cloud/HPC platforms. Job