325 computer-engineer-"https:"-"https:"-"UCL" positions at Oak Ridge National Laboratory
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Requisition Id 16217 Overview: The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak
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experimentation and theoretical modeling. This position resides in the Collection Science and Engineering Group in the Modeling & Characterization Section, Nuclear Nonproliferation Division, National Security
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another, work together, and measure success. Basic Qualifications: A BS in GIS, geography, environmental science, environmental informatics, computer science, engineering, natural sciences, or a related
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Qualifications: An MS in computer science, mathematics, or a related field completed within the last 5 years. A BS degree and at least 2 years of relevant research experience will also be considered. Familiarity
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, engineers, and technicians on challenging, fast-paced technical projects and operations in support of the DOE Isotope Program, and specifically associated with the rapidly growing field of stable isotope
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: BS in Computer Science, Engineering, Project Management, or related field (or equivalent experience) and at
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a scientific, statistical, mathematical, informatics, engineering, or related quantitatively oriented field. Minimum 2 years prior experience in occupational health, industrial hygiene, or working
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training such as the Naval Nuclear Power Program). Experience working with a team of engineers, scientists, technicians, operators, and crafts. Ability to work 12-hour shifts on a year-round, rotating
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-generation building construction. This position resides in the Manufacturing Robotics and Controls Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak
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Ridge National Laboratory. The SDS Group consists of researchers focused on delivering computational solutions for the study of complex engineered systems using scalable architecture-aware algorithms