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multi-period network planning in a competitive environment, taking into account the actions of other operators. The project builds upon previous research that addressed this problem through the lens
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implemented. The current project aims to expand these capabilities to include GHz-frequency transport measurements and THz spectroscopy in fields up to 200 T. These techniques are widely used at lower fields in
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each year worldwide are used for NH3 synthesis (i.e. H2 production), reflecting the current carbon footprint of the process: 1.2% of the CO2 produced each year worldwide. Research into catalysts for NH3
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advanced seismic methods (including array processing, machine learning, and potentially distributed acoustic sensing) to develop novel approaches for monitoring unsteady and non-uniform flood flows across
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developments in natural language argumentation -including argument mining (AM) and argument retrieval (AR)- there still critical limitations to current natural language argumentation methods and models among
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to technological platforms, including flow cytometry, advanced imaging, proteomics, genome engineering, and bioinformatics, in close collaboration with the Jacques Monod Institute. This environment provides an ideal
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from the deep milling of existing pavement structures (equivalent to “full depth reclamation”). In current formulation methods, these materials are often considered as purely granular media and
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of proof assistant technology capable of understanding the dynamical linguistic structures found in current high-level mathematical texts. The project includes the study of interpretation mechanisms
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. Today, the recycling and reuse of battery components at the end of their life cycle is a responsible and essential approach, and one that needs to be explored in order to meet current challenges
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markers, flow cytometry, and cell sorting. • Generation and analyses (bioinformatic and statistical) of environment and microbiome data, including amplicon sequencing libraries, metagenomes, and