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disturbances. Current control methods generally rely on simplified interaction models based on constant aerodynamic coefficients, quasi-static approximations, potential flow models, or experimentally identified
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and the various components of the tumour microenvironment. The research will primarily be conducted using patient-derived glioblastoma models and will combine approaches from cell and molecular biology
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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with LP2M teams (immunology, iPSC models) as well as from the project's international clinical and scientific network (Prof. Claus Peter Schmitt, Heidelberg; UCA GenomiX and MICA platforms, Nice
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composed of specialists in signal processing (i3S Laboratory), computational cardiac modeling (Karlsruhe Institute of Technology, Germany) and interventional cardiology (Nice Pasteur University Hospital and
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the levitation via Joule effect. On a negative side, another intrinsic feature of the EML is the generation of fluid flow within the liquid sample. Under terrestrial conditions, this flow is generally strong and
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. The PhD candidate will investigate the links between inflammatory signaling, cellular stress responses, senescence, and the maintenance of HSC function. The project will combine mouse models with cellular
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interpreted within a THMC physical modeling framework, in which deformation controls the evolution of permeability, fluid pressure evolves via porous flow, and reactions (serpentinization) modify bulk and
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for geophysical flow modelling, uncertainty quantification, and high-performance computing. Its work relies on both deterministic and statistical approaches. The objective of this PhD project is to develop a new
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methodological comparison between mechanistic vector control models and macroscopic SIR-type models calibrated on serological survey data. Currently, risk indicators (e.g., R₀ estimation) derived from mosquito