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Field
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data analysis. Experience with reliability testing and quality control, programming, circuit board design and/or cleanroom manufacturing is a strong plus; Entrepreneurial spirit; Experience with
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
. The analysis of flare data and its contextualization to planet habitability is the primary science goal for SPARCS. However, as this is a small team, the researcher will have the opportunity to tailor
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develop functional materials or novel analytical methodology for analysis, detection, or treatment of PFAS. Generally, the postdoc will provide support to research projects under the direction of Dr. Guo
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on the analysis of different characteristics of the skin and body fluids, such as sweat and blood. Many of these methods are challenged with quality (accuracy/precision of measurement), power consumption, usability
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well as companies to help move the nation toward an economy based on reliable energy. The successful postdoctoral candidate will join a team of Argonne researchers and work closely with federal agencies and other
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programming, probability theory, and statistical analysis of large datasets using R or Python. A successful candidate should have a Ph.D. in Operations Research, Electrical Engineering, or Industrial
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WIAS Berlin, Weierstrass Institute for Applied Analysis and Stochastics Position ID: 2306 -RAP4 [#26820, 25/14] Position Title: Position Location: Berlin, Berlin 10117, Germany [map ] Appl Deadline
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design based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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microscopy, and associated techniques). You will be responsible for conducting data analysis and ensuring the validity and reliability of data at all times as well as maintaining highly organised and accurate