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human stem cells for in vitro modeling of neurodegeneration disease. Projects in the lab are at the interface of systems biology and bio-medical research. In particular, we aim at developing novel
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numerical modeling - Scientific writing (reports, articles) - Ability to lead meetings and ensure quality of tools and results Knowledge: - Data collection, analysis, and processing - English proficiency (B2
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to explore and validate new business models based on distributed storage and dynamic sharing coefficients, integrated into a regulatory sandbox and real-world test environment. Main tasks: Create algorithms
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on the integration of fuel cell systems in distributed energy systems, addressing both technical and economic aspects of their operation, especially under new business models and grid interaction scenarios in Spain
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assessment (LCA) and circular economy principles. Methodology The PhD project will combine: - Numerical modeling: Finite element analysis (FEA) to simulate soil-foundation interaction, degradation, and load
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behaviours. Various methodologies have been developed, including physics-informed ML approaches that use numerical modelling to create synthetic datasets (e.g. Tristani et al., 2025). Additionally, approaches
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short-term physiological responses of tree species and modified long-term dynamics of the whole ecosystem. On the other hand, vegetation demography models are numerical tools formulating forest processes
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dedicated to advancing antibiotic research through close collaboration among biologists, clinicians, and engineers. Its overarching goal is to rejuvenate antibiotic discovery by developing laboratory models
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for runoff quality studies, conducting laboratory analyses, conducting statistical or numerical analyses, or conducting computer modeling/geographic information (GIS) analyses. This is a part-time, off-campus
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
computational methods. These quantities feed into our group's thermodynamic and geophysical numerical models. In addition, we are interested in investigating the consequences of the presence of organic matter in