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Description The postdoc will plan and conduct brain imaging studies on cue-reactivity, craving, and impulsivity in eating disorders, in the context of an IReSP funded research project. The postdoc will analyze
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investigate different rhythmic competencies, and how these relate to different speech and language skills. The postdoc will integrate into a team investigating these different topics, and will also be
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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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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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clinical neurology, neuroimaging, and computational modeling. Postdoc Mission: Lead the project efforts in close interaction with on-site neurologists experienced in ALS, experts in Clinical and
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improve this chain and derive dead fuel estimates, which will be integrated into forest fire spread simulations conducted by another postdoc at the Météopole. Both postdocs will collaborate closely. Since
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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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, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
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on the plants Arabidopsis thaliana will generate maps of depolarization, retardance, dichroism, and optical axis azimuth, which will feed machine learning models developed by the project partners to identify