PhD Candidate: Sparse Sensing for Inverse Problems

The University of Oulu is seeking a Doctoral Researcher in Computational Uncertainty Quantification for a project in Applied Mathematics. The role focuses on developing mathematical and computational methods for inverse problems with applications in medical and geophysical imaging. Ideal candidates should possess a Master’s degree in applied mathematics, strong skills in numerical analysis, and programming experience in languages such as Python or Matlab. The position is fixed-term for three years, offering competitive salaries and opportunities for collaboration.
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