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Field
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R and Python and be highly proficient in using R for statistical analysis, bioinformatics, data visualization, and multi-omics data analysis. The candidate should be comfortable independently
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7 Sep 2026 Job Information Organisation/Company Aix-Marseille Université Research Field Anthropology » Cultural anthropology Anthropology » Communication anthropology Arts » Visual arts
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experimental enclosures with the ultimate aim of reconstructing the visual circumstances leading up to mate detection. The successful candidate will contribute to an Australian Research Council funded project
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, network analysis, visualization, quality control, and statistical analysis. Perform and analyze electrical neuromodulation experiments, including open-loop and closed-loop stimulation paradigms, to test
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, and PCR techniques. Proven experience using bioinformatic pipelines to analyze and visualize complex biological/genomic datasets. Demonstrated background in grant writing (e.g., NIH, NSF, private
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
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evaluation of human-centered artifacts. This would include working on research projects involving assistive technologies for people with visual impairments, personalized learning platforms, and Human-Computer
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aerosols. - Visualization and post-processing tools: Proficiency in visualization tools (e.g., Python) and data post-processing tools to analyze simulation results and generate graphs, maps, and diagnostics
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knowledge-based tasks in a version-controlled environment. Strong strategic planning, community engagement, communication, and public presentation skills. Prepare technical solutions, reports, and visuals
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
this context, the offer is about continual audiovisual robot perception, and aims to develop methods and algorithms to continuously extract cues about human behaviour from audio and visual data in real-world