111 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions in France
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develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address
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the extent of glaciers over time using moraine dating and reconstruct the evolution of the glacier fronts of the studied glaciers using a statistical model. • Identify and quantify the influence
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uncertainties can affect the effectiveness of emergency response operations. The objective is to develop a multi-agent model of emergency response operations during flash floods, in order to study how the use
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models enabling the prediction of browning intensity during storage. Missions The recruited person will be responsible for: Study of reaction dynamics during simulated drying development and use
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will be instrumental in developing the advanced computational models of the atrial tissue required in the thesis' simulation study. Atrial fibrillation (AF) is the most common sustained cardiac
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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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extracellular vesicles. The delivery of RNA into the cytosol represents a major challenge for the development of new delivery strategies and RNA-based therapies. Indeed, following cellular internalization, RNA
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Toulouse, who developed a tool called BibHélioTech, which serves a precursor to this thesis's research. International collaborations are also possible, particularly with the NASA/ADS (Astrophysics Data
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has been developed in the laboratory. Experiments performed with model materials (Cu, Ni, CuNi) demonstrated a strong stabilising effect of the DC magnetic field above 4.5 T on the oscillatory behaviour
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and future mechanisms in the evolution of the Earth's climate and external environment, using observations and modeling exercises. The PhD thesis is funded by the French-Brazilian (ANR-FAPESP) AMACLIM