The University of Oulu is seeking a Doctoral Researcher to contribute to the SPARSe Academy Fellowship project in Applied Mathematics, particularly in Sparse Measurement Strategies for Goal-Oriented Inverse Problems. The role involves developing mathematical and computational methods for inverse problems, uncertainty quantification, and applications in X-ray computed tomography and seismic imaging. A Master's degree in applied mathematics is required, along with strong knowledge in numerical analysis, scientific computing, and programming skills in Python, Matlab, or Julia.
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