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, statistics and the R statistical environment. The candidate should also have field and laboratory experience in pollen analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5602
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statistical models. Within the Polarity, Division and Morphogenesis team, the candidate will work closely with biologists and physicists to develop approaches integrating spatial transcriptomics, cell dynamics
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(study conducted by our collaborators in Marseille). The postdoctoral researcher will participate in the design, execution, and analysis of behavioral experiments in humans. Furthermore, they will develop
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how DNA LLM work, and develop solutions to integrate them into the neural network architectures developed by the lab. - Focus on developing new solutions for the scalability of neural networks and large
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existing structural and functional MRI data, acquire new data in collaboration with clinical researchers, and prepare publications and conference presentations. - Study preparation - Data acquisition (MRI
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, statistics, quantitative/qualitative analysis. - Appetite for educational AI, LLMs, or data analysis (advanced skills not required but appreciated). Cross-functional skills - Interdisciplinary teamwork
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ancestral recombination graphs to study of the genetic basis of diseases, incorporating ancient genomes • Apply and develop methods for partitioning heritability and estimating genetic correlations • Develop
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collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of this position is to develop a robust and efficient framework
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- Co-constructing solutions to improve the concept through collective discussions, both through internal (the 3 partners) and external collaborations (workshop, teaching projects, external collaborations