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potential. An ideal framework for such a global analysis is provided by Effective Field Theories (EFTs), in which deviations from the SM are encoded in new effective interactions between known SM particles
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the prioritized thematic issue and the controversies identified - Mapping of controversies and creation of a database of associated visual and audiovisual materials (MANIFESTE database). Once this data
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). The recruited individual will be responsible for analyzing data from field campaigns to evaluate 1) the effectiveness of acoustic deterrent systems on the accidental capture of sea turtles and on the capture
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would be advantageous; Scientific curiosity, a high level of rigor and commitment to research of the highest standards are also important selection criteria; Digital skills (e.g., data visualization
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/validation of the models used; Graphical modeling and visualization of the data; Contribution to the writing of scientific articles. The recruited individual will work within the Praxiling laboratory (UMR 5267
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, Slurm, etc.). - Strong skills in Python for data analysis and visualization. - Clear communicator with proven ability to write, synthesize, and present scientific results. Website for additional job
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molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM
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, Biochemistry, or Structural Biology, and a strong interest in applying this knowledge to biology. Experience in the field of Cryo-EM or in DNA origami design and visualization tools (e.g. CADnano) is highly
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and male-male competition are often observed, because visual cues often trigger such behavioural responses. In mimetic species, pheromones divergence and olfactory receptors are thus predicted to be
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experimentally shown to modify phenomena like the quantum Hall effect. On the theoretical front, the interaction between topological matter and cavity photons was also considered. Topological materials are a class