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Field
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agents for data analysis, and the design of interactive systems that keep human analysts in control of AI-assisted sensemaking. Responsibilities Conduct research on agentic visualization: generative AI
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undergraduate biotechnology education through the development of students’ visual literacy skills, a critical competency for interpreting and communicating scientific information. The postdoctoral researcher
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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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analysis, data organization and quality control, software testing, visualization of research data, scientific documentation, and general laboratory research support while working collaboratively with a
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for genomic data integration, analysis, querying, and visualization using modern computational and AI-assisted software-development tools. The role requires familiarity with genomics, careful attention
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across four interconnected project areas, each offering structured training and hands-on learning experiences. Project 1: Research and Data Analysis You will gain experience in data science for PHSA’s core
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-pass surveying; (b) develop and deploy vision / AI algorithms, including implementation on embedded platforms; (c) carry out data collection, flight experiments and analysis; and (d) assist in
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analysis, and data visualization. Apply advanced statistical, machine learning and AI methods when appropriate. Review analysis outputs and ensure methodological consistency and quality. Collaborate with
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reproducible pipelines for data cleaning, quality control, statistical analysis, visualization, and reporting. Apply machine-learning methods to clearly defined research or clinical questions and compare
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 14 hours ago
2 Oct 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2