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at the county level nationwide. Based in Kansas City, the fellowship is sponsored by J. Tom Mueller, PhD, Assistant Professor of Population Health at the University of Kansas Medical Center (KUMC) School
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: Expert on steels and steel welding or additive manufacturing Develop advanced machine learning framework to combine different modality and fields of data Conduct CALPHAD-based simulations in a high
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Job Description The SIGNATURE project aims to define the human insulin resistance molecular network by identifying different baseline sub-phenotypes of insulin resistance in humans and assessing
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acknowledging that the same answer given to survey questions means different things to different people. Moreover, extant research has focused on the factors that explain levels of concern among the public as a
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. The successful candidate will have significant experience in at least one of these areas. They must show a willingness to develop skills and to work with a team that includes post-doctoral staff, PhD and
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, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and Postdocs within
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You will collaborate closely with RCA staff, PhD students, and external partners, contributing to cutting-edge, design-led robotics innovation. Outputs are expected to be published in high-impact
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applications of quantum dots. Write technical reports, research papers, and grant proposals. Present research findings at internal meetings, national and international conferences. Education PhD in Materials
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lack of investment over decades. The candidate will be expected to have a PhD in relevant fields of either economics, geography, economic development, planning, engineering, or public policy
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comprise different characterization techniques (e.g. solid-state NMR, low-temperature physisorption of nitrogen, dynamic light scattering, and electron microscopy techniques) to characterize the obtained