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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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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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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Topolectrical Circuits and Non-Hermitian Physics) Posting Start Date: 13/02/2026 Job Description The candidate will undertake
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academia, industry, and national laboratories Job Requirements: PhD in Materials Science, Chemistry, Physics, Computer Science, or a closely related discipline. Strong experience with Density Functional
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spatiotemporal systems by combining physics-driven baselines with data-driven correctors. Formulate and solve inverse problems using Physics-Informed Neural Networks and relevant methodologies. Conduct rigorous
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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
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hydro-thermal conditions. Key Responsibilities: Design, develop, and set up experimental systems for novel fracturing and faulting modeling Conduct advanced numerical modeling and inversion studies
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, cross-spectra, filtering, mode fitting). Inverse problems / inference applied to astrophysical flows (e.g., inversion methods, Bayesian/statistical inference, uncertainty quantification) Strong
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background in wave optics, Fourier optics, and inverse problems, including experience with linear and nonlinear reconstruction methods (e.g., Born/Rytov approximations, multislice or multiple-scattering models