258 parallel-processing-bioinformatics-"https:" uni jobs at Oak Ridge National Laboratory in United States
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Requisition Id 16082 Overview: The Performance Assurance Group of the Integrated Operations Support Division (IOSD) at Oak Ridge National Laboratory (ORNL) seeks a Process Improvement Engineer
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reproducible computational workflows for genome annotation and omics data processing of Populus and Populus-associated microbes, optimized for high-performance computing environments Analyze biological
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Requisition Id 16022 Overview: We are seeking a Computer Scientist or Engineer with a focus on Vulnerability Research who will support the Cyber Resilience and Intelligence Division in the National
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Requisition Id 15974 Overview: We are seeking a Computer Engineer with a focus on Hardware Vulnerability Research who will support the Cyber Resilience and Intelligence Division in the National
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transformative solutions to compelling problems in energy and security. The Enrichment Systems Engineering Section is seeking a Process Design Engineer who will support the Enrichment Science and Engineering
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Requisition Id 15532 Overview: Oak Ridge National Laboratory (ORNL) seeks a Group Leader to lead groundbreaking research within an area of Material Processing. This position resides in the Materials
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consumption and greenhouse gas emissions from these industries, they are referred to as “energy- and emissions-intensive industries”. Process heating is the dominant use of energy for these applications and
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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to ensure
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environments. Leverage cloud object storage (e.g., Amazon S3) for data staging and artifacts; implement parallel, secure data movement and lifecycle policies. Basic Qualifications: Ph.D. in Computer Science
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production