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, Gaussian, etc.), force-field-based simulations software (LAMMPS, DL_MESO, etc), and Monte Carlo methods (self-programming or using software). Experience or strong interest in data-driven modelling and
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), quantization and sharding, prompt optimization, reinforcement learning, Transformers/Deep-SSMs/Test-Time Regression. Experience with probabilistic machine learning, including but not limited to Gaussian
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cells Key methods will include: Gaussian Processes (heteroscedastic & multivariate) Operator-valued and deep kernels Active Bayesian experimental design Physics-informed neural networks Closed-loop
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, Poor and Verdù in the analysis of finite-length channel coding rates [3], Yang, Schaefer and Poor [4] proved tight bounds on the second-order coding rate for discrete memoryless and Gaussian wiretap
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the distribution of generated images with the distribution of a set of ground-truth images, using the Wasserstein distance between two full Gaussian distributions. Current OT approaches for high-dimensional
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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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in its content can access it at any time on the website: https://www.ncbj.gov.pl/sites/default/files/prasa/INTERNAL%20NOTIFICATI … Information in accordance with Article 13 RODO on the processing
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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
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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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while maintaining high performance and durability. To overcome challenges related to material compatibility, anode degradation due to nitrification, slow chemical/electrochemical processes, and