175 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "ETH Zürich" uni jobs at Oak Ridge National Laboratory
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issue through fabrication and final shipment Maintain alignment between material flow and production schedules by organizing work center queues according to current priorities Ensure production data
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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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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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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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development teams Basic Qualifications: A Bachelor's degree in Computer Science, Electrical or Computer Engineering, or other field relevant to the job duties. Competency in Python and C++ programming Ability
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. This section will advance the integration of high‑performance computing (HPC), artificial intelligence (AI), data science, and automation with experimental biosciences to enable predictive, scalable, and AI
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data connectivity. This role ensures that all changes to control configurations, communications pathways, or system integrations are made in accordance with Industrial Control System / Operational
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, security and data integrity across compute and storage systems Lead operating system and third-party software maintenance efforts, balancing security requirements with research uptime Design and implement
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design and implement next-generation experimental workflows that integrate instrument control, automation, data management, and advanced analytics, supporting the transition toward highly automated, AI