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Field
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Engineering, skills in the areas of Geographic Information Systems, Geodesy and Hydrography. Additional optional skills and qualifications: Experience with GIS software and geospatial analysis tools. Experience
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and instruments including SME, XRD, and testing equipment. Use of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able to successfully
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Lawrence Berkeley National Laboratory - Physics | Berkeley, California | United States | about 1 month ago
quality control (QC) testing for hundreds of pixel detector modules, as well as contributing to the development of data acquisition (DAQ) systems and the automation of software testing tools. You will also
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. This three-year position will support the research team in using existing data sets and the collection of new data to inform the development and testing of a new contemporary model of work. Skills and
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of new data to inform the development and testing of a new contemporary model of work. Skills and Experience To be considered for this position, you will have: Completion of a PhD in a relevant discipline
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opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised trial designs and
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duties that may be applicable to the position: Develops, tests, and analyzes research data for projects based on application expertise and interest. Writes grant proposals for competitive funding agencies
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Databehandlingsansvarlig: HAProxy software Formål: Kreves for at nettsiden skal fungere riktig. Personvernregler for databehandling: HAProxy software - Personvernregler for databehandling Utløpsdato: Session Navn: SERVERID
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and ensure the successful fabrication from design to production. Testing & Optimization : • Assist engineering team with testing and optimizing new electrolyzer systems, ensuring they meet
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database management and analysis, including the use of statistical software (namely R, SPSS, STATA, or Python) and, preferably, geospatial analysis tools (QGIS, ArcGIS, or equivalents); Knowledge in applied