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the integration of the test rig at Argonne National Laboratory (ANL) with full-time dedication and multiple extended visits to ANL to realize the outcomes. The selected candidate will work under the supervision
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Microsoft Word, Excel, Access and PowerPoint. Preferred Qualifications Proficiency and knowledge of multiple statistical software packages preferred, such as SPSS, SAS, R, Python, etc. Experience with ML/DL
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analysis using data software is required (e.g., SAS, STATA, R, etc.). Qualifications: Doctorate degree in Epidemiology (or related field) from an accredited university by the start date required. Knowledge
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cells and explants, human placental tissue, mice, rats, and guinea-pigs. The research group is now soliciting applications for a postdoctoral fellowship involving testing the novel and innovative idea
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Rocketdyne. The work is oriented on the design and testing of various systems and components for applications with supercritical CO2, H2/NH3, molten salt and particle-based storage systems. The Postdoctoral
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prioritize work while meeting multiple deadlines. Ability to communicate effectively in both oral and written form. Skill in using analytical software tools, data analysis methods, and other computer
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-driven or discovery research goals on multiple biomedical service projects. Will participate in the design and execution of research plans under the direction of the center leadership and will analyze data
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-clinical and translational research. Works with the PI to develop scientific ideas into projects. Designs and performs experiments to test the hypothesis. Records and summarizes research data generated from
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-testing of tracks and courses and examining the efficacy and effectiveness of the DoDVLS within community-based settings. Key activities for the Post-Doctoral Researcher – DoDVLS include conceptualizing and
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Analytical Research and Development team as a Postdoctoral Research Fellow, focusing on advancing analytical testing for nucleic acid biotherapeutics. Our group develops and validates analytical methods