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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 28 days ago
these inverse problems are ill-posed, prior information is required to obtain meaningful solutions. This research aim at replacing traditional hand-crafted priors with learned priors based on modern generative AI
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
from data, enabling the inversion to operate within realistic media. This data-driven regularization mitigates the ill-posedness of the inverse problem. The work program of the first part is as follow
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experience in doing so. This position is based at the Kansas Geological Survey (KGS), a research and service unit at the University of Kansas , and will be co-supervised by Jim Butler (https://kgs.ku.edu
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description La toxoplasmose est une infection causée par le parasite Toxoplasma gondii
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The position Department of Physics and
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, supporting studies on ulcer disease prognosis. This position offers a unique opportunity to work at the forefront of optical imaging technology, combining experimental optics with advanced computational and
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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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technical skills for working with AEM data and models, including physically based forward and inverse modeling of AEM survey responses, and demonstrated experience in doing so. This position is based
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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pixel, and E is a spatially and spectrally white Gaussian noise. This problem can be ill-posed, in particular for low spatial resolutions, high levels of noise or partial observations, so a prior