55 parallel-programming-"Multiple"-"Simons-Foundation" research jobs at Oak Ridge National Laboratory
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operational excellence and engagement with the communities where we live and work. ORNL invites you to apply to its Distinguished Staff Fellowship (DSF) Program. This program recognizes outstanding early-career
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Science Division (BTSD) is seeking applicants for a Postdoctoral Research Associate to support the State and Community Energy Programs (SCEP) and Building Technologies Office (BTO). The SCEP team consists
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in peer-reviewed journals in a timely manner Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing
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analysis and Excel Experience with data analysis programming (visual studio/visual basic) Excellent written and oral communication skills Demonstrated ability to function well in a fast-paced research
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other characterization methods, as well as across multiple CNMS groups and divisions at ORNL. Major Duties/Responsibilities: Conduct materials research using combined photonics/scanning probe microscopy
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models using software such as GAMS and Python. Econometric modeling skills using statistical software (e.g., Limdep, Stata, EViews or R). Strong programming skills with R and Python. Excellent oral and
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. Experience with programming languages such as Python, R, or MATLAB and experience with relevant tools and frameworks for data analysis and machine learning. Experience with database technologies, particularly
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for isotopic analysis and assays, supporting critical safeguards, nonproliferation, and nuclear programs. The Postdoctoral Research Associate will play a vital role in developing methodologies for nuclear
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, industrial energy systems, energy efficiency of manufacturing industry, or other related fields. You will play a crucial role in the planning, execution, and optimization of our technical assistance program
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. Collaborate extensively with researchers across the CNMS to identify new opportunities to improve capabilities and compatibility between multiple experimental platforms and workflows. Contribute to the timely