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research and excellent digital literacy Strong interest in historical data, machine learning, data visualization, or digital hermeneutics Strong communication skills in English and good knowledge of French
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visualization. Experience with GWAS, Bayesian modelling, and/or machine learning applied to biological data. Strong programming skills (R, Python) and ability to manage large-scale -omics datasets. Good
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of the projects. The recruited researchers will join one of the 4 research packages with the following overall objectives : Developing next-generation contrast agents to visualize protein aggregation due
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(Working with data supplied by the project partners, Designing visual representations of these data adapted to the analysis contexts, Studying the effects of these representations on understanding
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develop an end-to-end processing system as well as a hazard map visualization (Web and/or GIS); Publishing the various scientific advances in conferences and peer-reviewed journals. Where to apply E-mail
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numerical dynamo simulations and analysis/visualization of their output is required. In addition, experience with geomagnetic field models over different time scales (modern, historical, archaeomagnetic
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interactions:(1) We propose to study the realization of more complex tasks than textual answers generation to include the generation of graphical widgets and data visualization means when appropriate