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and improve the robustness of the analysis, optimization, modelling and inverse design of microwave components and systems. Key Responsibilities: Conduct independent and collaborative research on AI
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Position Description The successful candidate will work on using satellite observations of atmospheric methane to better quantify methane emissions on regional to global scales through inverse analyses
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skills and ability to work across disciplinary boundaries. Desirable: Experience with image-based modelling workflows (CT/XCT segmentation-to-mesh pipelines). Experience with inverse problems, uncertainty
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assurance/insurance frameworks, including algorithmic insurance contracts, parametric insurance structures, and data-driven risk quantification methods (e.g., conformal prediction and inverse conformal
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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the “Inverse Problem” component of the project: developing and validating a satellite-based pancake-ice detection algorithm using ICESat-2 wave-damping observations within a Bayesian inversion framework
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, e.g. weekly meetings, journal clubs, seminars etc. There has been progress using GenAI, like diffusion models & flow maps, for inverse problems. The GenAI models act as data-derived priors, while
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5th May 2026 Languages English Norsk Bokmål English English Faculty of Engineering Science and Technology PhD Fellow in optics: advanced microscopy methods for bioimaging Apply for this job See
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approaches for inverse design of frequency-selective metasurfaces. You will also work closely with academic collaborators and industrial partners, contributing to joint research activities and scientific
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27 Jan 2026 Job Information Organisation/Company LINGNAN UNIVERSITY Research Field Computer science Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application