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Recherche sur la Conservation (CRC – UAR 3224 CNRS / MNHN / French Ministry of Culture), within the Colours and Visual Effects research group. The project is part of the field of heritage science and aims
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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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of sea turtles - Developing innovative machine learning methods to analyze the sounds associated with these behaviors - Automating the processing of audio and visual data to optimize the quantity and
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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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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