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to urban water systems. • Develop models, and predictive tools for hydrological analysis and urban water management. • Design analytical approaches to improve water resources management and urban
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elements in nonlinear analysis software (preferred Atena); • Documented experience in other software for nonlinear analysis of structures; the ability to use a programming environment (e.g., Python) will
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; develop projects, collects data, and conducts quantitative and qualitative analysis in new research projects designed as pilot work for new grant submissions; participates in bi-monthly research team
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implementation of PRECAR-EU. The successful candidate will work closely with the PI while enjoying intellectual autonomy in the design and delivery of research tasks, fieldwork, data analysis, and the preparation
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against falling from heights in working environments. This includes modeling, simulation and design of passive self-locking mechanisms and joints, FEM analysis on mechanical components, CFD analysis of flow
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models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research
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of computational neuroscience concepts - Expertise in dynamical systems theory - Knowledge of machine learning - Experience with neural data analysis ### Technical Skills - Advanced scientific programming (Python
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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), computing sensitivity kernels and applying the BG-SOLA method to infer the properties of the MTZ. They will adapt existing and develop new seismic analysis and inverse methodologies within a finite-frequency
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advanced research in AI-based modelling applied to urban water systems. • Develop models, and predictive tools for hydrological analysis and urban water management. • Design analytical approaches