408 parallel-processing-bioinformatics-"https:" positions at Oak Ridge National Laboratory
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS degree in surveying, engineering, mathematics, physics, or a related field and a minimum of 5
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mathematical representations of quantum states and processes, develop algorithms, and produce open-source scientific software Write peer-reviewed scientific articles and present research findings at major
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the systems, processes, and field execution required to manage a diverse range of industrial, chemical, and radioactive wastes and materials generated by ORNL operations and research in a safe and compliant
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. Process subcontractor construction submittals and Requests for Information (RFI’s) to ensure timely responses and response durations are upheld. Inspect and coordinate engineering inspections
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systems that are pivotal to the nation’s energy future. Develop new projects and programs by leveraging capabilities in experimental design, complex data analysis, technology and process development, and
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, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Advanced degree
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technical leadership in AI security evaluation mechanisms. Required Qualifications Master’s Degree in Computer Science, Computer Engineering, Cybersecurity, or related fields with 7-10 years of experience
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core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS/BA degree in engineering, physics, mathematics, chemistry, international studies, or related field and
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AI/ML surrogate models for inverse design of new materials and processes, incorporating simulated and experimental multi-modal datasets. Develop AI/ML approaches to bridge length- and time-scales in