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transformation, machine learning, and data analysis applied in logistics and supply chain management; support graduate-level teaching activities for both the Supply Chain Management residential (SCMr) and Supply
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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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: Experience with georeferencing and geoprocessing tools applied to urban studies, including the organization, processing, analysis, and spatial representation of data. Strong academic track record, with
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23 Sep 2026 Job Information Organisation/Company Gustave Roussy Department INSERM U1279 Research Field Biological sciences » Biological engineering Physics » Biophysics Engineering » Biomedical
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knowledge of data analysis and processing, programming, and development of analytical models. Experience with databases and quantitative analysis tools. Ability to work with large datasets and computational
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-population analysis, and integration of genomic data with longitudinal electronic health records. The scholar will have opportunities to lead projects using data from the Global Biobank Meta-Analysis
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analysis of large datasets (e.g., bioinformatics, computational biology, data science, computer science, computer engineering, electronics, biostatistics, mathematics, physics, biomedical engineering, or
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enables the visualization and analysis of data collected from Panel 8 of the Benguerir mine. Main Responsibilities The successful candidate will be responsible for: • Designing and conducting research
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scientific software for data analysis and figure preparation (e.g., GraphPad Prism, FlowJo, ImageJ, EndNote or equivalent). Commitment to rigor, reproducibility, responsible conduct of research, and compliance
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well as develop or apply coding skills (R/Python) for large-scale data analysis. Your job responsibilities As Postdoc in cardiorenal metabolism your position is primarily research-based but may also involve