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, the Post Doctoral Associate conducts highly specialized and technical research involving animal models of cardiovascular disease. Among the key duties of the position are the following: Works with primary
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products. The associate will also help develop and refine the project’s Theory of Change model, ensuring it aligns with strategic objectives and incorporates emerging insights. As the project evolves in
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universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. More information about us can be found on our website: http
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characterization of photonic devices. Desired qualifications: Theoretical understanding of photonic integrated circuits. Experience with numerical modeling. Experience with Python programming. Additionally, we
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
of Environment of Environmental Sciences and Engineering (ESE) focuses on the interface between people and the environment with interdisciplinary programs in air quality, atmospheric processes, human exposure and
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diabetes. The successful applicant will develop cell-based model systems such as human stem cell-derived beta cells, using single cell genomic read-outs, and will explore poorly understood genome regulatory
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; Implement agronomic assay to evaluate the stability of clay-humic complexes under culture conditions and how an intense of microbial activity contributes into the process of stabilization of organic matter
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to integrate various structural biology data (NMR, SAXS, FRET, EPR) as well as computational models and simulations to create and interpret conformational ensembles of disordered protein regions, with the goal
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pomace, cranberry pulp) into functional dietary fibers and assessing their structural properties and microbiome interactions using human stool samples and animal models. The role also includes graduate and
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restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural