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: -Excellent verbal and written communication skills. -Ability to analyze data and write reports. -Ability to utilize a computer and applicable software. -Ability to multi task and work cooperatively with others
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software or equivalent. Knowledge, Skills, and Abilities Excellent verbal and written skills. Presentation skills. Analytical skills. Attention to detail. Multiclamp 200B and 700B type amplifiers
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flow dynamics. Experience in network analysis, capable of analyzing and interpreting the interconnectedness and hierarchical structuring of river systems. Familiarity with software and tools
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using software and programming languages such as R, Python, Google Earth Engine, etc. Demonstrated ability in integrating ecological theory with ecosystem ecology and remote sensing to improve predictions
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
/Administrative Internal Number: 25074 POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center (PSFC), to lead the development of a rigorous verification and validation (V&V) framework for FESTIM, an open-source
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experiments in the SNS ring including experiment design, and data analysis. Develop software for data acquisition and analysis as needed. Perform simulations using a well-tested model of the SNS ring to
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) software. Security, Credentialing, and Eligibility Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is
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. Solid experience with qualitative and/or quantitative (at least one; both preferred) data analysis, including sufficient knowledge in statistical tools and software. Strong scientific manuscript writing
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of software and hardware techniques to explore three areas of interest: (1) real-time quality control of manufacturing processes; (2) understanding correlations between manufacturing intent, machine behavior
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health data, c. QA/QC of collected and analyzed data and data validation and verification against independent sources, d. data summary and analyses, e. modeling of individual or multiple elements