319 parallel-processing-bioinformatics "Multiple" positions at Oak Ridge National Laboratory
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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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Program (DOE IP) to advance the chemical processing of unique f-element isotopes, including Cf-252, Bk-249, Es-254, Fm-257, and Pm-147. A core focus of the DOE IP is to improve and develop novel chemical
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environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Preferred Qualifications: Experience applying wireless signal processing techniques to non
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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 15813 Overview: We are seeking a highly motivated postdoctoral researcher with a strong background in sensor integration, data acquisition, and in situ process monitoring
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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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of materials across metallic, ceramic, and composite systems. The Material Processing research in MSTD supports missions for multiple program offices within the U.S. Department of Energy (DOE), including: Office
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) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple