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Spatial Temporality in Education Critical & Embodied Theories Qualitative Research Methods Oral History Critical Policy Analysis Candidates must have documented experience teaching the following courses
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Sriperumbudur. Potential research projects include (but are not limited to) developing theory and methods for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows
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research involving biological data analysis and modeling of biological systems. In particular, they will develop and apply algorithms to construct discrete dynamic models of signal transduction networks
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experimental, modeling, and analysis tasks to evaluate the utility of laser welding models for development, transfer, and process monitoring, and control. The successful candidate will provide materials
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universities. Experience in effective student mentoring. Dedication to ensuring a respectful, equitable and inclusive work environment. Experience with finite element analysis and design optimization preferred
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molecular biology techniques, 2D and 3D cell culture models (hydrogels), imaging techniques (TEM, SEM, confocal), protein analysis (immunohistochemistry/immunofluorescence), and handling of rodents. Specific
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of experimental design and analysis, as well as scientific reporting, and will receive mentorship in these skills as well as grantsmanship. The ideal candidate will hold an earned Ph.D. degree in Kinesiology
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, Biosystems, or Environmental Engineering and must have completed all PhD degree requirements by the appointment date. Experience in process modeling is required, and expertise in techno-economic analysis and
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experimental, modeling, and analytical characterization and analysis tasks to evaluate the utility of various materials exposed to extreme environments. The successful candidate will provide materials synthesis
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for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine