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opportunity to work at the intersection of computational neuroscience, psychology, and applied mathematics. Core responsibilities include: Focus on decision-making, linking computational models and mathematical
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of multivariate techniques; repeated measures designs; path analysis, discriminant and factor analyses; and structural equation modeling. Knowledge of quantitative genetic approaches such as genome-wide association
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single cell transcriptomic data. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including
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have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models for Alzheimerâ™s, Parkinson, and Dystonia as well as to identify novel
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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multi-site time-series IEQ datasets, including clustering, regression, and statistical modelling to identify environmental predictors of mould growth preparing scientific publications, conference
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-level electrochemistry. You will collaborate with researchers from diverse technical backgrounds who work on transport applications and modelling tools for early battery lifetime indicators. About us At
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Project: Enhancing APEX for simulating environmental and economic impacts of CAFO operations using the APEX model, funded by USDA-NRCS. Texas A&M AgriLife Research is seeking a highly motivated and
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Helpful: PhD degree in Chemical Engineering, Process Engineering; Oil and Gas Engineering; Ocean Engineering, or other engineering related field. Experience in Systems modelling and analysis; process safety
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response of the lung vasculature to hypoxia and other injuries. Specifically, the post-doctoral fellow will perform mechanistic studies in hypoxia-induced pulmonary hypertension animal models as well as in