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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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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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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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, LepEU , and the COST Action 10kLepGenomes , and working within a collaborative and multidisciplinary team. Where to apply Website https://jobs.bc.cas.cz/en/detail/285 Requirements Research FieldBiological
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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 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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Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences | Czech | 2 months ago
mechanistic model of how transient interactions provide precise control of transcription elongation in a nucleosomal environment. University: Faculty of Science, Charles University Group: Václav Veverka Group
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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
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multicomponent materials based on reducible oxides and metallic or bimetallic nanostructures and thin films. The applicant’s research will focus mainly on so-called model studies of such well-defined materials
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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