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Postdoctoral position in scientific computing, machine learning, and inverse problems The Department of Mathematics invites applications for a postdoctoral position with partial external grant
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The Basque Center for Applied Mathematics (BCAM) is launching two postdoc positions of 2 years each within BCAM–Helsinki Lab on Machine Learning and Inverse Problems, a strategic joint initiative
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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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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results
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voxel grids. You will conduct fundamental and applied research at the intersection of linear algebra, inverse problems, signal processing, and machine learning. The position requires close
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Mathjobs.org | about 1 month ago
discovery: AI-assisted simulation, surrogate modeling, inverse learning problems, automated scientific discovery, generative approaches for science, and data-driven discovery of mathematical or physical
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discovery: AI-assisted simulation, surrogate modeling, inverse learning problems, automated scientific discovery, generative approaches for science, and data-driven discovery of mathematical or physical
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an advantage: Neural representations, implicit neural fields, or other coordinate-based representations. Computer vision, 3D vision, geometric modeling, or structure-from-motion. Inverse problems
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geometry, number theory, data. * Qin Li: Scientific computing, machine learning, inverse problems. * Hanbaek Lyu: Combinatorics, probability, optimization, and machine learning. * Laurentiu Maxim
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-resolution imaging, phase retrieval, image reconstruction, inverse problems, and scalable computational approaches for analysing large microscopy datasets. Experience in electron microscopy, quantitative