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are formed in bone-conduction. We perform intracochlear measurements of sound pressures and vibrations in human cadaveric ears. We develop circuit network models and finite element models to assist data
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principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and analyses to support strategic
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
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of the quark-gluon plasma, low-energy phenomenology within and beyond the Standard Model, neutrino physics and astrophysics, nuclear astrophysics, nuclear structure, perturbative QCD, and quantum few- and many
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, predictive models of neurodegenerative disease with a focus on Alzheimer's Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical
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perform experiments to examine how the orexin system mediates affective and motivational states arising with opioid withdrawal in an animal model of opioid addiction. The studies will explore how the orexin
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling
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record. Ability to multi-task and work both independently and cooperatively with others. Preferred Knowledge, Skills, and Abilities: Strong computational and data analytics skills Modeling experience
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on suitability modeling and evidence of biocrust presence from the published literature suggest that these photosynthetic soil communities make up 12% of Earth’s land surface. Despite their global extent and
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research program addressing important and fundamental questions. To support this effort, interdisciplinary and translational approaches are encouraged. Qualified candidates must be a recent recipient of a