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approach combining: • The implementation and optimization of environmentally friendly extraction processes, • A fundamental understanding of the associated inhibition mechanisms, and • Life-cycle analysis
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combine the flexibility of neural networks with the statistical robustness of linear mixed models to tackle one of biology's most fundamental questions: how do genetic variants determine phenotypes? The
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of the fabricated structures. This position offers an excellent opportunity to develop expertise in high-precision silicon microfabrication within a multidisciplinary research project combining nanotechnology
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the experimental development of an approach to the 3D characterization of organic crystals. The approach is based on thermo-microscopy, combined with multidirectional observation, allowing for in situ, 3D
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combines multimodal neuroimaging with computational modeling to characterize the neural mechanisms underlying human social decision making. The focus of this project will be to unravel the neurocomputational
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specializing in zeolites and porous materials, with a particular focus on biomedical applications and green chemistry. The project combines fundamental and applied research with the training and mentorship
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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. The approach combines theoretical developments, experimental observations and advanced modeling. More and more technologies, implemented in nowadays devices or foreseen in next-generation ones, are or will be
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their partners by using a combination of computational analyses, single molecule imaging and molecular approaches such as Electron Microscopy. The project will be realized in collaboration with research groups
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key materials—generally nickel-based superalloys—that make up turbine blades with ceramic matrix composites (CMCs). These composites combine lightness, thermomechanical strength and damage tolerance