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patients with early DKD and matched healthy controls. ▪ Development of an AI-driven digital African twin model capturing population-specific molecular heterogeneity, disease trajectories, and predictive
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encapsulation strategies to improve stability and controlled release of bioactive compounds. The project will also develop prototypes for human food, pet nutrition and cosmetic applications to validate
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | about 2 months ago
while controlling the associated costs. Meanwhile, numerical simulations of permafrost dynamics are highly complex and challenging due to the strong non-linearities and couplings involved in the related
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more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards Must be authorized to work in the United States on an ongoing, full-time
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such as 10X Visium and Xenium. - Perform quality control, normalization, spatial clustering, and feature extraction. - Apply tools for spatial gene expression visualization and interpretation. Single-Cell
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or intervention strategies are lacking, urging the need for new perspectives on pathogen control. Within this project these perspectives will be explored. To predict correlates of disease against these complex
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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prediction approach for pennycress and winter camelina improvement. Post-Doctoral Associates conduct research and/or services that provide further development of career skills or allow them opportunities
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how natural selection shapes sex-specific immune strategies. The goal is to generate quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from
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trends and composition analysis, refractive index determination, and morphology for applications such as environmental monitoring, nuclear non-proliferation, and improving predictive modeling tools (e.g