341 engineering-computation-"https:" "https:" "https:" "https:" "Univ" positions at Oak Ridge National Laboratory
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environmental conditions, and predicting photosynthesis at multiple scales. The selected postdoctoral scientist will work with a team of mathematicians, computational scientists, plant geneticists and
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Requisition Id 16081 Overview: We are seeking an Electrical CADD Designer III who will focus on producing designs, and engineering drawings using computer-aided design (MicroStation/AutoCAD
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product definition data using computer-aided design (historically Creo). Identify and resolve model, design, and interface problems together with system lead engineers. Provide insights for designing
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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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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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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