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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
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of alterations in coastal processes in the southern and eastern Baltic Sea to climate change driven modifications of coastal drivers. Oceanologia, 67(1), 67103. https://doi.org/10.5697/LXTZ5389 Holman, R. A
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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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research on advanced materials and processes for energy applications (including photovoltaics, hydrogen evolution reaction, oxygen reduction reaction, and CO₂ reduction reaction), performing computational
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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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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital
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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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teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process
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the application of computational fluid dynamics and Gaussian dispersion models (e.g., R-LINE, MOVES, AERMOD) to simulate pollutant behaviour, apportion source contributions, and evaluate mitigation