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on inverse multiple-scattering algorithms. Implement and evaluate both linear approximation models and nonlinear high-order scattering approaches for accurate imaging of thick and strongly scattering
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diffraction tomography, with a focus on inverse multiple-scattering algorithms. Implement and evaluate both linear approximation models and nonlinear high-order scattering approaches for accurate imaging
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nonlinear integrated photonics with hybrid integrated pump laser sources facilitates the exploration of new applications of optical sources, in particular for quantum-enhanced metrology and spectroscopy
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for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows
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implement new nonlinear iterative solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned
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the final exam. Desired qualifications: Background in probability theory and Monte Carlo methods, and familiarity with stochastic processes. Strong background in hydrodynamic, nonlinear and stochastic wave
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, by implementing new mitigation techniques for things like the Analogue to Digital Converter (ADC) nonlinearities, cosmic rays and gain fluctuations. Using the Cosmoglobe end-to-end Gibbs sampling
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advantage. Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https