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for modelling protein structures and protein-ligand (metabolite) interactions. Using multi-scale molecular models, we aim to predict the structural features of gibberellin (GA) transporters, a key phytohormone
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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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to the industrial recovery and reuse of these critical elements. More specifically, the proposed mission will explore two avenues: - optimization of Rh solubilization during dissolution of model
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: - using experimental data to develop a kinetic model; - modelling the pilot-scale reactor for plasma-assisted NH3 synthesis; - intensifying the reactor and extrapolating to develop the industrial-scale
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employed to solve a similar problem by two highly social species, particularly distant from a phylogenetic point of view, but which are classic models for studying pro-social behaviour: bumblebees (Bombus
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of transportation and energy. Its experimental and numerical modeling activities focus on various complex and multiphysical flows, including turbulence, two-phase flows, combustion, and thermoacoustics. Research
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systems. A priority is given to the solubility of H2S in silicate melts and the modelling of multicomponent fluids in highly pressurized, H2-rich systems. • conduct, analyze and interpret experimental
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relevant therapeutic strategy in bronchopulmonary cancers. To assess the therapeutic potential and renal safety of this approach, we propose to evaluate the pharmacological effects of ASOs in a mouse model
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implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new