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for analysis of epidemiological data and large scale ‘omics data such as epigenomics, transcriptomics, miRNA, metabolomics, epigenetic aging. Analyzes data and writes interpretative reports. Verifies
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modeling. Brief Description of Duties: The Postdoctoral Associate will assist the Principal Investigator Dr Fang Luo in the Department of Electrical and Computer Engineering . The incumbent will conduct
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to analyze human gut microbiome data from large cohorts. Responsibilities Microbe-microbe and host microbe interaction analysis in multiple cohorts (n=2500) Evaluate differential fitness of specific strains in
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this position will also possess: Data analysis, software and big computing. Salary: Compensation will be commensurate based on the selected candidate's education and experience. Please note: This position is
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on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data
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interpreting mass spectrometry and mass spectrometry imaging data. Git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs statistical analyses on large
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and skills to complete research projects. Assists with the preparation of cleaning and worksite. Analyzes research data, summarizes findings, and contributes to research papers, articles, and
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 14 days ago
26 Nov 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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Vacancies Postdoc Position Applied Large Language Models for Advanced Banking Operations Key takeaways We are looking for a results-oriented postdoctoral researcher to accelerate our strategic
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) parameters and state variables. Inferring these parameters and/or states from large amounts of possibly high-resolution data leads to computationally intensive inverse problems. The team aims at developing