Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
. They have led to a plethora of important downstream applications, such as image and material generation, scientific computing, and Bayesian inverse problems. At the core of these models are differential
-
Additional Information Website for additional job details https://gfz.concludis.de/prj/shw/2190834cf569ffab46854f84b2124104_0/11161/Wisse… Work Location(s) Number of offers available1Company/InstituteGFZ
-
the requisite experience. A2 Knowledge of mathematical and statistical methodologies including several of: Statistical modelling and inference, Bayesian statistics and probabilistic modelling, Inverse problems
-
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
-
, 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
-
the person selected will be published on the same website where the offer is published. Website for additional job details https://www.labora.cat/en/ Work Location(s) Number of offers available1Company
-
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
-
, 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
-
, 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
-
algebra, inverse problems, signal processing, and machine learning. The position requires close collaboration with experts in both image processing and imaging physics, as well as with researchers in