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or inverse Gaussian (Wald) distribution, suggesting that severe events may be more frequent than expected from general sea statistics (Soomere et al., 2020). In the West Estonian archipelago, wave set-up may
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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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. 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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bio and chemistry codes such as NAMD, GAMESS, NWChem, QBox, Quantum Espresso, Gaussian, GROMACS, LAMMPS, etc. Strong publication record in their area of expertise Position Type Research Additional
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chemistry computer program from the following: Gaussian, Molcas/OpenMolcas, BAGEL, Turbomole, Q-Chem, Orca, • active knowledge of English in speech and writing. Selection process Preference will be given
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documentation, and support dissemination activities through presentations and publications Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo/contrato-conjuntanoviembre2… Requirements
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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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preservation of cultural heritage. The project focuses on state-of-the-art techniques such as Neural Radiance Fields (NeRF) and Gaussian Splatting to reconstruct and render highly detailed and photorealistic 3D
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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
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. Quantifying the impact of microscale uncertainties on macroscale material performance through stochastic homogenization and uncertainty propagation methods, including Monte Carlo and Gaussian Process-based