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: 2059-2026 URL to this page https://web103.reachmee.com/ext/I003/583/main?site=6&validator=e4575239eb8c0828707e2b716f86c5f8&lang=UK&rmpage=job&rmjob=9994&rmlang=UK
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PhD project involves interdisciplinary research at the interface of computer science and mathematics and addresses a complex, coupled inverse problem with explicit uncertainty quantification. Research
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leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for
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particular, we will use topology and shape optimisation methods to compute the optimal domain shapes that can stabilise solutions with desired/prescribed properties. We will use methods from inverse problems
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expertise in several of the following areas: inverse problems, statistics, optimization, uncertainty quantification, and/or computer vision/machine learning. Strong foundation in at least one of: numerical
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, 100% funded PhD student position to fill starting around June 2026. Research is to be in the field of computational methods in nonlinear and large scale optimization / inverse problems or in novel
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21 Feb 2026 Job Information Organisation/Company Université Grenoble Alpes Research Field Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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for this job through MathJobs.Org right now. Please apply at https://jobs.ornl.gov/job-invite/15464/ . Postal Mail: 1 Bethel Valley Road Oak Ridge, TN 37830 Web Page: http://jobs.ornl.gov
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, geophysics, or a related field. The candidate must have a strong background in solid mechanics, inverse problems, and wave propagation. Knowledge of poromechanics is preferred but not required. Also of
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scientific imaging (TR-FLIM, HSI, ISM), designing mathematical and unsupervised learning algorithms for nonlinear inverse problems, with reliable reconstructions even with limited data. Where to apply Website