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practical part, related to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements
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simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathe… Requirements Research FieldEconomicsEducation LevelPhD or equivalent Skills/Qualifications 1
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random perturbation and also with a significant practical part, related to the effective computation of the data and numerical simulation. Where to apply Website https://resurseumane.ase.ro/non-gaussian
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implementing algorithms based on online Sparse Gaussian Processes and advanced probabilistic techniques enabling AUVs to dynamically alter their trajectories, cutting down on uncertainty and improving efficiency
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algebra, topology, geometry and convexity Ohad Noy Feldheim Probability, Gaussian processes, discrete probability, extremal combinatorics Zlil Sela Geometric group theory, model theory Alexander Sodin
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clustering from HSC, LSST, and Roman • Development of cosmological simulations incorporating primordial non-Gaussianity (PNG) • Construction of cosmological emulators for cluster observables, including
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 27 days ago
engine such as Unreal Engine. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09630 Requirements Skills/Qualifications Skills in AI applied to graphical computing are a plus
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. At present there is specific interest in advanced 3D perception techniques such as geometric foundation models, implicit neural rendering (NeRF, Gaussian Splatting) as well as semantic mapping. Our research
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-dimensional statistics, Gaussian approximations, time series, point processes, extreme value theory. The successful applicant will be a highly motivated researcher, capable of working both independently as
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models. Experience in preparing scientific publications and the ability to collaborate within research teams. Additional requirements: Familiarity with small-scale or Gaussian atmospheric dispersion models