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these models for scalable vision tasks, instance segmentation, tracking, classification, and more. You will utilize probabilistic models to produce uncertainty-aware predictions across scales. This role requires
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application. The ambition of this research is to understand, and even predict through modeling, the damage process of tuffeau limestone in its most damaging form of deterioration: spalling. The hydromechanical
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impact-based health early warning systems. The successful candidate will join the research team of Dr. Joan Ballester Claramunt (https://www.joanballester.eu/ ) at ISGlobal within the framework
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Modeling, Analysis & Prediction of Particle-laden Real-Gas Supersonic Turbulence. (Ref. 10267290001)
Description Mission: Carry out the modeling, analysis and prediction of real gas supersonic turbulence. Fuctions to be developed: Develop tools to aid analysis. Perform experimental and computational analyses
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systems; longitudinal health data integration; genomic and multi-omics data analysis; AI and machine learning for precision diagnostics; predictive modeling of treatment outcomes; biomedical big data
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fundamental and applied challenges in how unsteady flows generate sound and how that sound can be predicted or reduced. For more information please visit - https://www.unsw.edu.au/research/flownoise Skills
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of Molecular Medicine and Therapeutics at The Ohio State University College of Medicine. Lab website: http://u.osu.edu/mathur Our goal is to use the lens of metabolism to better understand and predict cancer
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nursing science, applied to nursing practice and care processes, including digital care pathways, predictive and preventive models, and data-informed clinical decision-making. The professorship emphasises
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-0831 Description of Work: At the Digital Twin Innovation Hub, we are developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model that represents
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neuroscience • Psychological and brain sciences • Medical • Biomedical • Nanofluidics and microfluidics • Biomimetics and biofilms • Social media analysis and predictive modeling • Molecular, cellular