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teams. Familiarity with uncertainty quantification and parameter calibration methods. About the Department The Department of Bioproducts and Biosystems Engineering (bbe.umn.edu) is an internationally
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development Complete simulation verification, model validation, uncertainty quantification, and documentation Optimize system and component designs for performance and safety Author peer reviewed papers
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, the centre will initially focus on some of the following thematic areas: • Decision analysis under model misspecification • Uncertainty quantification around LLMs • Constrained optimal
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LBM implementation. Given that numerous measurements and parameters are subject to uncertainties, the project also incorporates uncertainty quantification (UQ) with the ultimate goal of providing
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. Implement conformal prediction and uncertainty quantification techniques to provide reliable risk assessments and uncertainty estimates in LLM applications. Present research findings at national and
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. Moreover, the successful candidate will also need to develop a system to estimate the uncertainty of the predictions. Potential solutions could include ensemble generation, a combination of EOF
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familiarity with ML frameworks such as PyTorch, Jax, or TensorFlow. A strong foundation in statistical methods, probability theory, or uncertainty quantification is highly advantageous. Job Family Postdoctoral
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on developing machine-learning-based or statistical emulators to approximate key outputs of complex Earth System Models, with the aim of enabling efficient uncertainty quantification, sensitivity analysis, and
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learning, allowing rapid but rigorous system architecture definition of a launch vehicle within the MBSE collaborative environment. You will also carry out research in the field of Uncertainty Quantification
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and data-driven approaches to improve model performance and interpretability, incorporating uncertainty quantification across a range of scenarios. Other responsibilities include publishing findings