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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 18 days ago
candidate should have experience in finite element analysis software packages, such as Abaqus. The candidate should have experience in scientific computing with Python, including familiarity with
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activities. This is an exciting opportunity to work within a collaborative group with deep expertise in silicon detectors, Trigger/DAQ (TDAQ) systems, software, and computing. The Argonne ATLAS group plays a
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and biophysics, good computer programming skills, and working knowledge of UNIX, phyton, and shell scripting is highly desired. Experience in molecular simulation softwares and analysis tools such as
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) in Psychology, Cognitive Science, Computational Linguistics, Linguistics, Computer Science, or a related field. Strong quantitative, statistical, or computational programming skills (e.g., R, Python
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methods and appropriate statistical software. While no one specific programing language is preferred, the ability to do advanced data cleaning and statistical analyses is required. Interpret and summarize
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with
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to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and
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chemical engineering program in Australia. The School is committed to teaching excellence and our graduates are highly regarded and sought after by employers in Australia and overseas. The School is research
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independent observations and diagnose performance issues. Develop and maintain scientific software for modeling, assimilation, analysis, visualization, and reproducible computational workflows. Collaborate
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models) to extract and compare outcomes reported across clinical trial registries, protocols and publications. Working with computer scientists, statisticians, trial methodologists, outcomes researchers