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hierarchical modeling strategies. The candidate will contribute to outcome definition, data curation and analysis, and model development, with opportunities to engage with advanced statistical methods such as
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interested, please send your CV and a brief statement about your research interests and your experience with any computational methods to eugen.hruska@faf.cuni.cz by 20.4.2026. No tuition fees, and you would
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potential of classical and innovative fertility forecasting methods in the context of the Czech Republic Profile of the graduate In addition to the scientific and pedagogical pathway at universities, a
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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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. _______________________________________________________________ Responsibilities Preparation of soil and plant samples and performing laboratory analyses using various methods Establishment and maintenance of pot experiments in greenhouses and growth chambers Work on scientific
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with potential extension to more complex structures and environments. The ideal candidate will have experience with some of the methods listed below (see Group overview), ultrahigh vacuum (UHV), and a
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microbiology. They learn contemporary microbiological, molecular genetic, bioinformatic, biochemical, analytical, and biophysical methods for studying microorganisms. Key research areas include physiological
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of antioxidant dipeptides in stem cell metabolism Synthesis of deoxyribozymes using DNA amplification methods The impact of management on the activity of microbial communities in forest soils The impact of
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diamond-derived PV materials for multiprocess photon-to-current conversion, ultimately contributing to the development of innovative energy harvesting solutions. Where to apply Website https
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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