DTU Compute, Technical University of Denmark

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  1. [PHD_COMPUTE] . We develop the mathematical, statistical and computational framework for applying UQ to inverse problems (e.g., image deblurring, tomographic imaging, source reconstruction, and fault inspection, PhD Project in Computational Uncertainty Quantification for Inverse Problems – Prior Modeling (2019/06/09)
  2. [POSTDOCCOMPUTE] Develop UQ models, methods and computational algorithms that perform uncertainty quantification with non-Gaussian errors in inverse problems., Postdoc in Computational Uncertainty Quantification for Inverse Problems – Non-Gaussian Errors (2019/06/30)
  3. [RESECOMPUNCER] Computational Uncertainty Quantification for Inverse Problems – Modeling Platform and Software System, Researcher in Computational Uncertainty Quantification for Inverse Problems – Modeling Platform and Software System (2019/06/30)

(3 positions listed)


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