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. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (https://foylab.xyz/ ), focused on developing computational methods to enhance how we collect, analyze and use clinical
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 30 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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, takes place in the frame of the SF-PLANT project of PEPR SupraFusion which aims at assessing the impact of high temperature superconductors in the design of fusion power plants. The prediction of plasma
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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any attempt to model and predict network behavior accurately particularly challenging. While simulations remain an essential tool for performance design and evaluation, traditional models often fail
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
. Description: Ames scientists are actively involved in theoretical computation of extrasolar planet atmospheres, predicting exoplanet spectra, conducting and interpreting exoplanet observations, planning future
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
with experience in causal inference predictive modeling, and data linkages will be given preference. Preferred candidates will have a strong publication record for their career stage, strong oral and
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for the built environment. Particular emphasis is placed on artificial intelligence in construction, building information modelling, point cloud capturing and processing, as well as construction robotics. The PhD
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well as upscaling to larger areas and model-based predictions for the future. In this project, the Chair of Forest Sites and Hydrology at the Institute of Soil Science and Site Ecology offers, subject to the