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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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; ● Solid background in immunology, cellular and molecular biology; ● Experience with cell culture, flow cytometry, molecular cloning, or CRISPR/Cas9 techniques; ● High motivation to work on immune
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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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understandings still influence contemporary studies and clinical work. Making these connections and differences tangible, enables a more reflective approach to our current view of disease, and how these influence
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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
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for this project will be split between University Bourgogne Europe (Bénédicte Coste) and the University of Glasgow (Matthew Creasy) and the successful candidate will be expected to split the period of their studies