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Field
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into pangenome variation graphs, and developing flexible and realistic simulations of genomes containing structural variants. You will manage your own research activities, adapting existing methodologies and
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position is central to the project in that you are expected to collaborate with project members to develop algorithms and knowledge within AI, through the development of experiments and simulations, and
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, technological, and societal challenges of computer science. The researcher will join the SocSIM-K (Social Simulation and Knowledge) research team at LIG, whose work is carried out within the framework
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research in computational cardiovascular modelling for patient-specific digital twins, with an initial focus on blood-flow simulation and transcatheter aortic valve replacement (TAVR). The postholder will
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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simulation framework for non-Newtonian properties of biocompatible ionic liquids and deep eutectic solvents. This position will focus on deriving mathematical equations and implementing them in coarse-grained
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, technological, and societal challenges of computer science. The researcher will join the SocSIM-K (Social Simulation and Knowledge) research team at LIG, whose work is carried out within the framework
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consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ and remote sensing data from
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Research Assistant Ability to work well as part of a team and rapidly acquire new skills Handling large experimental datasets using Python or R and the ability to apply these skills to simulate
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dynamics simulations and machine learning methods to study the structure and electrochemistry of disordered materials are also encouraged to apply. The project primarily aims to understand the complex