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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 17 hours ago
, data acquisition, controls, or AI-enabled building systems. • Experimental design, laboratory testing, prototype development, and quantitative data analysis. • Research documentation, peer-reviewed
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analysis, instrumentation, or space-mission design and development. Special Instructions Contact Information Nicole Grenier BHI Division Administrator 617-496-8956 Contact Email nicole.grenier
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to identify molecular processes associated with variation in brain morphology, connectivity and function. The fellow will work at the interface of neuroscience, statistical genomics and computational analysis
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developed; Conduct cost-benefit and Life-Cycle Assessment (LCA) analysis of the material developed Job Requirements: Extensive knowledge of carbon material enhanced concrete/geopolymer material; A PhD degree
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well as the modelling of coastal processes. Familiarity with Bayesian analysis, extreme value analysis and multivariate analysis will be advantageous. Only shortlisted applicants will be notified. Job Requirements
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models, with the help of our Engineered Mouse Model Core Facility. Evaluate transcriptome perturbations using next-gen sequencing analysis, RT-PCR, and qPCR. Characterize mouse neurodevelopmental
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of facilitating the early detection of potential increases in the circulation of certain viruses. Furthermore, work will be undertaken to improve and harmonise the different bioinformatic analysis methods
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, relevant experience in computer-based statistical analysis and presentation of results, demonstrated proficiency in a coding language used for data analysis, such as Python or R, proof of previous data
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phenotyping, including Seahorse extracellular-flux analysis. Use flow cytometry and cell sorting to isolate and phenotype human epithelial and immune-cell populations. Conduct confocal imaging of mitochondrial
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or related approaches, together with advanced analysis of molecular simulation data, including dimensionality reduction, conformational landscape analysis and the identification of metastable states