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-capacitive devices and magnetoelastic sensors, that can be integrated into implants to monitor mechanical forces, strain, and physiological changes in real time. These “smart implants” are designed not only
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investigating mechanically induced cell and tissue stimulation and applied to improving antimicrobial treatments. The postdoctoral scholar is expected to lead projects designing and characterizing new therapeutic
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fault mechanics, as well as earthquake hazards; (b) Volcanology: geochemistry, physical volcanology, igneous petrology, and volcanic systems modeling; (c) Climate science: glaciology, paleoclimate and
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undergraduate and graduate degrees. Our fundamental interest is in the nature of language, how language is used, and how this use impacts language learning, processing, and structure over historical and
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materials with nanoparticle structure/function characterization. AND/OR Candidates with immunological expertise are expected to lead projects connecting innate responses to mucosal nucleic acid delivery with
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neuroscience – questions such as, "How do neural stem cells choose between self-renewal and differentiation?" "What mechanisms generate the large diversity of neurons within the brain?" "How do these neurons
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mechanics using wearable sensors. • Models of bone health in running populations. • Models of tissue stress and strain in athletes. • Models of health and performance in female athletes. • Models of athlete
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. The postdoctoral researcher will help assess the longevity of fuel treatments (i.e. prescribed fire and mechanical mowing) to prevent the invasion of pinyon pine and juniper into sagebrush steppe, which provides
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Science Institute (MSI) at the University of Oregon is an interdisciplinary institute, founded in 1985 as a State Center of Excellence. Its purpose is to study the structure and properties of materials
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to tackle fundamental questions in neuroscience – questions such as, "How do neural stem cells choose between self-renewal and differentiation?" "What mechanisms generate the large diversity of neurons within