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preparation and testing or powder mixtures, and then to devise predictive models (possible using machine learning approaches) for the estimation of mixture properties from pure component propeties. The PhD
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postdoctoral candidates with background in social psychology, cognitive science, or social neuroscience to join a highly interdisciplinary project on the computational model of decision-making. The Computing
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implementing state-of-the-art AI-powered models for the automated taxonomic identification of insects captured via high-resolution camera traps. You will build upon the prestigious SEPPI Biodiversa (Standardized
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Quantum Computing (QC), Artificial Intelligence (AI) and their applications. For more, see https
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glioblastoma therapy From neurons to behavior: mechanisms of cognitive deficits in animal models of brain disorders Impact of gestational diabetes management strategies on breast milk composition and early
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of Religion at the Department for the Study of Religions in the position of a postdoctoral researcher focusing on mathematical modelling of data and statistics within the Czech Science Foundation Junior Star
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to climate change and variability Hydrological processes in organosols and peat-affected soils Modeling Hydrological Extremes Using Machine Learning Spatial and time distribution of precipitation within
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of the leading biomedical research institutions in the fields of neuroscience, metabolism and cardiovascular physiology in the Czech Republic. Using molecular, cellular and animal models, we tackle basic
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of Microbial Ecology and Biogeography (https://kohoutlab.com/ ), is seeking a motivated PhD student to join the consortium of the Excellence Research Centre project INTER-MICRO, which aims to identify how
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by metal nanoparticles, cell survival and radioresistance. The MS-RADAM research programme combines state-of-the-art computational multiscale modelling (using DFT/TDDFT methods, collision theory