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goals include optimising convective heat transfer using wall oscillations, relating small-scale turbulence to heat transport, modelling large-scale outer flow effects, and developing low-order heat
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the context of the missing bar problem of current cosmological models. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7550-KATKRA-001/Candidater.aspx Requirements Research
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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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-reinforced concrete elements. Furthermore, the experimental investigations that have been conducted so far are limited; hence, several knowledge gaps can be identified in the current state-of-the-art. Finally
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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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miscible) is approached. Moreover, as the correlation length diverges, fluctuations become increasingly important and the physics of these fluctuations has to be considered and modelled near the liquid
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combining physical chemistry and process engineering. The experimental and theoretical work carried out within this research area has led to an original approach that enables the understanding and modelling
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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will involve (but not be limited to) applying sophisticated mouse genetic models of cancer and conditional gene targeting, single-cell RNA-seq, spectral flow cytometry, multiplex imaging and spatial
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companies will also be studied. The optimization model will encompass the modeling and implementation of several technologies, including steam networks, hybrid power systems, and auxiliary and storage