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Field
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Qualifications Experience with scientific principles, laboratory equipment, and software programs. Experience with specialized tasks and laboratory/field techniques for the position: operate, maintain, calibrate
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analysis techniques (e.g., statistical software proficiency in SPSS, R, or qualitative analysis software) to manage data sets Professional Competencies: Strong written and verbal communication skills
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longitudinal analyses preferred but not required), including independence with use of SAS, SPSS, and/or R software Ability to efficiently multitask and meet deadlines Skill in taking initiative, assuming
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scientific software (Excel, Word, PowerPoint, Adobe Illustrator/Photoshop, Graph pad Prism); demonstrate the ability to work independently and contribute to a team environment; help to create and maintain a
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Maintain a mouse colony and establish genetic crosses Maintain detailed experimental records Use standard laboratory software that includes Microsoft Word, Excel, and PowerPoint, GraphPad Prism, SnapGene
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(e.g., survey development, administration, troubleshooting), Excel, and statistical software (e.g., SPSS, R) • Bilingual or conversational in Spanish. All offers of employment are contingent upon
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on software, statistics, and research methods Compile and organize links to online statistical and research methods resources for trainees and faculty researchers Required Qualifications PhD by time of
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. PV field system data analysis (time-series data analysis with JMP software and /or Python). Accelerated ageing procedures (IEC standards). PV module failure modes. Corrosion. Strong communications
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aspects of CMS, including detector operations, upgrade, software, and physics analysis. The group is deeply involved in detector upgrade projects using a center of excellence for composite manufacturing and
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, including detector operations, upgrade, software, and physics analysis. The group is deeply involved in detector upgrade projects using a center of excellence for composite manufacturing and simulation