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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 3 months ago
, or chronic disease management Explainable, robust, and ethical AI in medicine Explainable Artificial Intelligence (XAI) techniques, causal models, and uncertainty quantification Human-in-the-loop decision
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interest include physics-based surrogate modeling, uncertainty quantification, and multi-modal sensing, especially as applied to civil engineering systems. The successful candidate will complement and expand
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, machine learning, signal processing, statistics and error analysis (uncertainty quantification). 5-10 years research experience with focus in an area related to the research pursuits of the Jacobs lab
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projects in computer vision, multi-modal ML, digital twins or biomedical ML. Familiarity with uncertainty quantification and model explainability methods. Strong software engineering practices: Git
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improved performance in tasks of systems analysis like parameter estimation, solving inverse problems, and uncertainty quantification. The successful candidate will join a multi-institution research team
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physics, multiscale modeling, and uncertainty quantification. The Multiscale Modeling of Fluid Materials group at the Technical University of Munich is looking for talented and ambitious scientists
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projection using state-of-the-art computational approaches such as machine vision, digital twins, AI, uncertainty quantification, data assimilation, or fusion techniques, with the goal of improving forecasts
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17.09.2021, Academic staff We are looking for a Research Associate (m/f/d) in the area of Uncertainty Quantification effective January 1st, 2022. The Chair of Remote Sensing Technology is a joint