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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Working closely with S. Samieri's team in Bordeaux and as part of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
pending funding and performance. Minimum Education and Experience Requirements PhD in Computer Science, Computing, Statistics or Data Science, or related disciplines Required Qualifications, Competencies
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experienced by people living with HIV (PLHIV). This position offers an opportunity to contribute to innovative, policy-relevant research at the intersection of epidemiology, social sciences, statistics, and
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contemporary transitions: environmental, social, technological, cultural, and identity-related. To this end, and in line with its founding program, it has launched several research projects that are currently
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psychometrics is mandatory Technical skills : Strong knowledge of latent variable models Good skills in simulation studies Proficiency in Statistical programming in R or Stata Excellent written and verbal
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Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics, Biostatistics, Bioinformatics
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innovative analytical methods for various omics data, including microbiome, genetics, genomics, and metabolomics data. The position is for a two-year appointment. Applicants must hold a PhD in Statistics
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seek candidates with strong skills in programming (e.g. R or Python), statistics, machine learning, and data science. A good publication record with respect to your career stage and research interests in