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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 22 days ago
compréhension des processus physiologiques au niveau moléculaire et pour l'amélioration des approaches théoriques pour le traitement des maladies. Le groupe de recherche hôte (https://sites.google.com/site
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
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, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
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the University of Nebraska to change lives. Connections working at University of Nebraska Lincoln More Jobs from This Employer https://main.hercjobs.org/jobs/22026768/manager-biophysical-model-design-temporary
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University of California, Los Angeles | Los Angeles, California | United States | about 23 hours ago
experiments to build demographic models that quantify the population-level impacts of maladaptation. Second, they will use common garden data to link fitness consequences with predictions from landscape genomic
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to strategic initiatives through advanced analysis, forecasting, and predictive modeling that enhance access to, confidence in, and effective use of institutional data across the College. Kellogg Community
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for transportation prediction, system optimization, and environmental/health impact modeling Deployment of decision-support tools for public-sector clients (municipalities, MPOs, DOTs) Urban mobility, equity
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). Experience with Oracle EPM Cloud (EPBCS, PCMCS, FCCS, Strategic Modeling) and with ERP/GL, HR/Payroll, and student system integrations. Experience implementing rolling forecasts, predictive analytics
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highly motivated PhD student to develop advanced fracture models for predicting material degradation and failure in additively manufactured steel in nuclear reactor water environments. The project focuses