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Field
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CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia lipolytica. This position offers a unique opportunity to conduct cutting-edge research
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neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be applied in close
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a testbed of micromorphic numerical models, and metamaterials. Proposing experimental methods to obtain micromorphic models under small and large strain, with coupled uncertainty quantification
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research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems for viral agents. Emphasis is placed on determining
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opportunity to develop and analyze idealized simulations. Qualified candidates must have numerical modeling experience and a demonstrated record of first-author publication in physical oceanography
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multidisciplinary and highly collaborative research team and will lead research projects tailored to the candidate’s interest. The candidate will also have numerous opportunities for career and professional growth
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organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling
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of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education
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a testbed of micromorphic numerical models, and metamaterials. Proposing experimental methods to obtain micromorphic models under small and large strain, with coupled uncertainty quantification
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continuing dental education. As one of the fastest-growing academic health centers in the nation, the Texas A&M University Health Science Center encompasses five colleges and numerous centers and institutes