45 advance-soil-structure-modelling Postdoctoral positions at The University of Arizona
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tracking and fixed-tilt solar arrays that are both ground-mounted and elevated, creating an incredible space for quantifying the impacts and potential for crop production under a suite of design types
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protocols using a programmable ultrasound platform (Verasonics or Vevo F2) Apply advanced principles in US signal processing and beamforming Formulate and characterize nanoparticles and contrast agents
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characterization along with experience in nanofabrication, electrical or optical measurements, advanced microscopy and 2D materials. Outstanding UA benefits include health, dental, vision, and life insurance; paid
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, or device fabrication and characterization along with experience in nanofabrication, electrical or optical measurements, advanced microscopy and 2D materials. Outstanding UA benefits include health, dental
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pulse sequence development and advanced image reconstruction. The successful candidate will contribute to NIH-funded research focused on developing and validating quantitative magnetic resonance imaging
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expertise in MR pulse sequence development and advanced image reconstruction. The successful candidate will contribute to NIH-funded research focused on developing and validating quantitative magnetic
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Postdoctoral Research Associate to join our research group working at the intersection of advanced manufacturing, computational modeling, and machine learning. This position offers an opportunity to contribute
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motivated individual with knowledge in advanced microfabrication, semiconductor manufacturing, nanostructured materials, and material characterizations. The postdoctoral fellow will conduct and analyze
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, and neural circuit models for understanding local-field and neural ensemble data collected from rodent models of healthy aging and age-associated disorders. These analyses and models will contribute
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of Arizona's Department of Psychology invites you to apply to the role of Postdoctoral Research Associate I. This position will develop and refine computational approaches, analyses, and neural circuit models