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repurposed into remediation tools. Experimental data will be integrated into a simplified first order soil–vegetation–atmosphere (SVAT) model, a “box” model, enabling the prediction of radionuclide
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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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will generate synthetic data from personal data to mitigate scarcity in rare diseases. This will facilitate data availability for further development of predictive models, thereby enhancing the quality
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, and process modelling. The position is available immediately, with a start date as soon as possible. Where to apply Website https://www.academictransfer.com/en/jobs/357300/postdoc-position-in-microbial
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products or hydrographic data analysis is desirable Familiarity with joint community and predictive ecological modelling is a strong asset Languages Fluent in English (written and spoken). Catalan or Spanish
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models trained on the Year 1 dataset to predict promising compositions. The third year focuses on application and physical metallurgy insights, where the student will apply the refined methodology to a
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and refine the RG-based model to enhance its biological interpretability and robustness across different tumor types; to extend the model to simulate and predict solid tumor response to innovative
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 8 days ago
associated. with neurodegeneration or ischaemic heart disease. Predicting optimised regenerative response. Developing and validating predictive biomarkers, personalized interventions, and AI-driven models with
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 4 hours ago
1801P.01158.1.04, financed by national funds through FCT/MCTES Workplan: To develop a two-stage multi-scale vision-language model for the identification and classification of breast lesions in high
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—these approaches can recover unmeasured near-wall structures, improve subgrid-scale modelling, and enhance predictive accuracy. Possible project directions include: 1. Reconstructing near-wall velocity fields from