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machine learning tools. The postdoctoral fellow will contribute to various aspects of the project, such as: * developing new theoretical and numerical approaches for determining the thermodynamic and
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models that account for the dynamics of the actin polymer population in the cell cortex. The analysis will be carried out using probability theory and simulation tools, and will be based on a real effort
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and mRNA translation. The successful candidate will establish live imaging tools to analyse translation dynamics in regenerating axons, using an ex vivo culture model previously optimized (Schaeffer et
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tools, and assessing their performance (activity, selectivity, stability), the goal is to harness the unique properties of HEAs to enhance CO₂-to-methane conversion while reducing costs and environmental
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the clusters using microfluidic tools and steps of controlled particle suspension drying, ii) studying in details the structure and the linear optical properties of the clusters (absorption and scattering), and
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interacts with the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging
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- Solid knowledge of existing literature in optimization and/or symbolic computation - Strong skills in programming with scientific and/or symbolic computing tools Website for additional job details https
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to decipher spectroscopic signatures, emission or absorption, of possible triplet states. Ultrafast spectroscopy is the tool of choice for studies, but has not been applied with sufficient temporal
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of these tools and will be expected to introduce their own modifications in order to adapt and optimize the analysis for the study at hand. Other tasks include: * Optimizing the experimental setup (4D observations
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postdoctoral project will focus on quantifying the kinetics of cooling rates and the microtextural maturation of plutonic rocks related to slow cooling. The main tools will be those of diffusion chronometry (e.g