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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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) 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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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict
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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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, 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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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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dedicated to developing and strengthening the University of Bucharest’s centers of excellence. Where to apply E-mail [email protected] Requirements Research FieldEnvironmental scienceEducation LevelPhD
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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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collective cell migration. A central goal of the project is to develop and apply data-driven theoretical frameworks that infer interaction rules directly from multicellular migration experiments. We therefore
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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