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of millions of lakes worldwide. The successful candidate will create innovative solutions that significantly enhance large-scale environmental simulations and meaningfully advance the modeling of global lake
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evolution, and further to modelling. Investigating transcriptional profile of lncRNA. It can be expression quantification, alternative splicing, start sites properties. Performing AI modeling and developing a
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, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modeling of pathogen biology or host
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at the cellular level and in mouse models and humans. The project will involve cell and molecular biology, in vivo and in vitro studies and the use of multi-omics techniques (proteomics/RNA seq
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to simulate damage, and use and develop new physiological, morphological, cell and molecular biological analysis techniques. You will conduct training and supervision of students at all levels, including