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-wide traffic prediction Design physically consistent and interpretable machine-learning methods for dynamic traffic systems Test and validate prediction models using large-scale real-world traffic data
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; data assimilation; scientific machine learning and AI applied to wildfire prediction; smoke and fire-atmosphere interactions; and experimental or observational approaches supporting wildfire model
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Do you enjoy finding solutions to integrate and analyse large data sets of biodiversity dynamics and their drivers? Are you creative and able to couple various data flows and integrated modelling
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Fundacion para la Investigacion e Innovacion Biosanitaria de Atencion Primaria | Spain | 30 days ago
interoperability models and applied programming languages. • Development and validation of clinical data analysis models, including care pathways and predictive risk models. • Collaboration with other technical and
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of services. Data Science, AI/ML Modelling and Technical Research Support Support healthcare AI projects involving statistical modelling, machine learning, predictive analytics, natural language processing
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California State University, Northridge | Northridge, California | United States | about 17 hours ago
, forecasting models, and strategic recommendations to advancement leadership to support planning and decision-making. Develops and applies advanced data mining, segmentation, predictive analytics and modeling
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Centar izvrsnosti MARBLE drustvo s ogranicenom odgovornoscu za istrazivanje i razvoj | Croatia | 12 days ago
Cooperative trajectory planning and coordination of UAVs, USVs, and AUVs/ROVs Optimal control and Model Predictive Control (MPC) for autonomous and multi-robot systems Convex and non-convex optimisation methods
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. Reporting to the Director of AIR, you will shape how AI is used to improve capability, efficiency, decision-making, and impact. You will set direction for advanced analytics, predictive modelling
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translational model based on patient-derived tumour organoids that reproduce the realistic microanatomy of the tumour. These organoids will be used for translational testing of nanotherapeutic activity
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Position Data Science and Artificial Intelligence in Cardiac Electrophysiology Our goal: the development of multimodal prediction models to detect and predict atrial fibrillation (AF) and other clinically