181 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" uni jobs at Oak Ridge National Laboratory in United States
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Requisition Id 15464 Overview: The Mathematics in Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data
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open and transparent in communicating information to your groups and communicating staff achievements and changes to stakeholders in a timely manner. Working with Group Leaders to ensure staff actively
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equipment conditions. Maintain records of facility operations (e.g. narrative logs, rounds, test data, etc.). Participate in research and development activities associated with isotope enrichment. SIPF will
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of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: Ph.D. in mathematics, engineering, data/computational science
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visit https://www.ornl.gov/directorate/isotopes for more information about ISED. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year
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, RGA’s, etc.). Proven communication skills. A customer service focus and the ability to work within changing situations to meet short deadlines. Demonstrated computer skills and proficiency with
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to enable knowledge discovery from scientific data through efficient data management, reduction, and analysis. The group's goal is to accelerate scientific knowledge by researching and developing novel
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of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Deliver ORNL’s mission by aligning behaviors, priorities
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strength of ORNL which is the U.S. Department of Energy’s largest Office of Science laboratory. ORNL is home to two user facilities in manufacturing – the Manufacturing Demonstration Facility (https
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consisting of the best-of-the-best science teams around the world. NCCS enables these teams to perform science that is just not possible anywhere else. In return, and instead of charging for compute and data