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molecular dynamics simulations with LAMMPS, and data curation. Scientific context: Our current understanding of polymer viscoelasticity is founded on single-chain models [2]. Such models draw on the fact
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to clarify how curvature-penalised growth can robustly encode homeostatic states of stress and size. Drosophila wing disc experiment-driven modelling: Experiments performed in S. Harmansa's group in Exeter
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and analyzed. The results will inform the development of new models that describe how seafloor spreading operates on short time scales. ⁃ Perform statistical analyses (assessing distributions
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composition and atomistic modeling of materials. The main activities will include: - formulating new descriptors of critical temperature (Tc) incorporating electronic fluctuation effects, evaluated by
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EEG/ERP and/or fMRI - Programming skills (e.g., Python, Matlab) - Advanced knowledge of statistical analysis (e.g., mixed models in R) Desired skills: - Specialization in one or more research fields
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throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those organisms are responsible
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, and structural biology approaches - the SUMOylation of a key human DNA-repair protein. The project will involve protein expression and purification, interaction assays, structural modelling, and protein
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
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The candidate will be required to carry out the following activities: -Development of analytical and theoretical models applied to wing profiles in free or forced motion, -Constrained optimisation of trajectories