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problem is computationally intractable. This project uses an AI-guided inverse design loop. A goal-directed AI proposes novel GNR architectures, which a fast machine learning model rapidly evaluates
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emphasis will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses
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of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems), Computer Science (Machine
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the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from Mathematics (Inverse Problems
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for biological research. Successful candidates will have an interest in high-resolution imaging, phase retrieval, image reconstruction, inverse problems, and scalable computational approaches for analysing large
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imaging (crucial) Experience with image segmentation, deep learning, or computer vision. Experience with 3D image processing or inverse problems. Experience with experimental research and data acquisition
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the inversion problem to reconstruct environmental properties using received signals from a variety of EM wave sourcies located in different positions. Propose and implement computationally efficient solution
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for the propagation of incoherent light, novel computational algorithms for solving inverse problems to retrieve denoised and high-resolution holographic recordings, and motion compensation techniques. In this PhD
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to design detector-integrated photonic crystals for this endeavour. Job description We are seeking a highly motivated PhD candidate to join the INTERPRETER project, an interdisciplinary research initiative
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gases to pollutants, water vapour and heat, and uses inverse modelling techniques to determine sources of greenhouse gases, radionuclides, or air pollutants. To learn more about our team, we invite you to