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-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and discrete optimization, computational optimization, inverse problems, and optimization methods for
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institute hosted several of these group leaders like Benjamin Gess (https://www.mis.mpg.de/spde/), Angkana Rüland (https://www.iam.uni-bonn.de/pde-inverse-problems/), or Emanuele Spadaro (https
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | about 18 hours ago
, and electrically driven changes. This position is suited to candidates interested in computational imaging, inverse problems, electron scattering, open-source numerical techniques, and/or surface
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learning, inverse problems, optimization, numerical analysis. The projected base salary range is $100,000-$114,373 which represents the full range of anticipated compensation for this position
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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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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 hours ago
Qualifications: Expertise in the development of seismic processing algorithms, high-performance computing, and/or large-scale inverse problems; Experience in developing open-source software and a track
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interest include, but are not limited to, numerical analysis and scientific computing; differential equations and mathematical modeling; inverse problems and control; and stochastic methods. We
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are not limited to, numerical analysis and scientific computing; differential equations and mathematical modeling; inverse problems and control; and stochastic methods. We particularly welcome research
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, but are not limited to, numerical analysis and scientific computing; differential equations and mathematical modeling; inverse problems and control; and stochastic methods. We particularly welcome
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t0.technology | 2 months ago
-time backends); Algorithmic inference and analysis pipelines (map making, inverse problems, estimation and uncertainty quantification, analysis close to raw data); Applied array processing for