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accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted
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the University of Nevada, Reno Extension, Nevada Agricultural Experiment Station, Nevada Bureau of Mines and Geology, Nevada Small Business Development Center, the Nevada Seismological Laboratory, and Wolf Pack
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/Diplomas (Master’s and PhD degrees, including transcripts of grades in English or Danish). Complete list of publications. Examples of publications most relevant to the position – please attach 5 full-text
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(unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not
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be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series
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hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be
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Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered
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hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity/Affirmative
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characterization techniques Experience with common materials characterization techniques and relevant spectroscopies Proficiency in text, graphics, and data processing software Author or co-author on publications in
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nanocomposites broadly defined Excellent laboratory skills in nanosynthesis and characterization techniques Author or co-author on publications in a closely related topic Proficiency in text, graphics, and data