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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
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. Implements program analytics software tools, and runs predictive analysis and forecasting models in support of organizational goals. Uses of Python to conduct data analysis. Effectively translates data
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genomics. DNA delivery. Predictive models of DNA sequence to function, at the scale of genes and genomes. Human health applications and delivery mechanisms. We will consider applications on a rolling basis
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. The models will be used to predict dynamic responses to stressors, sleep disruptions, and diagnostic tests, as well as the long-term changes that occur during disease. A key challenge of your work will be
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these models specific for predicting and simulating individualized tumor behavior under different treatment scenarios. Dr. Swanson's research team's current projects focus on growing and harnessing
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testing, analysis, and validation of bio-composite structures Develop and validate material models and performance predictions using simulation tools Integrate materials into injection moulding and
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expertise in the use and development of AI-based approaches for image and data analysis. A general understanding of methods for in silico prediction, modeling, or data integration and/or of experimental
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, yield, and conversion strategies. Oversee predictive modeling, enrollment forecasting, and data analytics to support institutional decision-making. Strengthen partnerships with K-12 systems, community
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applications in advanced manufacturing and defense. This is a DMEx funded project. Predicting these mechanisms is a complex mathematical problem that involves the solution of a framework which captures the
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at the Oden Institute are diverse and build upon the mathematical foundations for predictive science, data science, machine learning, and (in particular) physics-based modeling using state-of-the-art computing