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skills such as structural equation modeling, multilevel modeling, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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health and well-being, cognitive aging and dementia, loneliness and social isolation, and integrative data analysis. Strong analytic skills such as structural equation modeling, multilevel modeling
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understanding the molecular basis of retinoid metabolism and signaling. Experience in animal models of lung injury, lung cell isolation, lung organoid cultures, immunofluorescent staining of tissues and cells
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other disease models that are valuable in studying the etiology and treatment for these devastating diseases. We combine in vivo, ex vivo, and in vitro methods to study the pathogenic mechanisms in a
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target all causal microorganisms. An integrated approach that quantifies sour rot disease risk based on within-vineyard environmental and management conditions is necessary. The successful candidate will
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neuropathological severity. The Postdoctoral Research Associate will be mentored by Dr. Carlos Cruchaga and will focus on the identification and modification of circRNAs in in vitro models of Neurodegenerative
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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary
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models, zebrafish models, and primary neuron culture is required. The candidate will work independently and should be competent to read the literature, assist with the designing and planning of projects
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temperature signalling in plants, such as the model plant Arabidopsis thaliana and the crop plants wheat and soybean. To unravel this, we focus on dynamic changes in protein phosphorylation status, since