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microbial functions with soil parameters - Functional C and N processes, modeling microbiome patterns, and determining ecological indicators for assessing habitat condition - Ecological statistical analyses
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) Developing deep learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level
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. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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experimental models to improve our understanding of EBV-driven mechanisms involved in multiple sclerosis. Main responsibilities and duties: Perform the phenotypic and molecular characterisation of EBV-infected B
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and screen genetically encoded peptide libraries in cancer cell models, with the aim of identifying molecules and mechanisms that influence cancer cell behaviour. The role offers an excellent
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forecasting models to help estimate which occupations school leavers may enter in the future, what skills they may bring with them, and how this relates to the skills in demand on the labour market. You will
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, therapeutic development, and commercialization. The ideal candidate will possess extensive experience in molecular biology and in vivo cancer models and have a strong interest in RNA therapeutics and nucleic
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research projects at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. Projects span AI-driven epidemic forecasting, transmission modelling in the ASEAN region
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seek a candidate who is excited by rigorous statistical mechanics and data-driven modelling, and who is eager to use these approaches to understand how complex biological functions emerge from