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data analysis. • Familiarity with plant growth chamber experiments, controlled inoculation systems, or compartmented experimental designs. • Experience integrating multi-omics datasets to address
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in both experimental and theoretical fields to enable you to learn and execute world-leading research. Job requirements A PhD degree in physics A PhD degree in electrical or mechanical engineering
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USNH Employees should apply within Workday through the Jobs Hub app This position is for a postdoctoral research associate in the Ocean Process Analysis Laboratory. The postdoc will be supervised
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synchrotron beamline provides a unique environment for developing novel diffraction methodologies, data-analysis workflows, and experimental capabilities. The candidate will have access to state-of-the-art
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experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability, and for alloy development and compositional
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, thermal management of batteries, battery lifetime estimation and development of experimental setups. Experience with the modeling, simulating and building experimental setups related to one: Batteries SoX
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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sponsorship. Job Duties Performing high level experimental, theoretical, and numerical research and data analysis (55%) Presentation publication, and proposal preparation (20%) Mentoring PhD and MSME students
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, followed by extensive quantum-optical characterization after fabrication. The experimental work will be performed in close collaboration with colleagues in the Applied Nanophotonics (ANP) department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
-dimensional datasets. Knowledge of experimental design, statistical analysis, model validation, and reproducible computational research practices. Evidence of scholarly productivity through peer-reviewed