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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days 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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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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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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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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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
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Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis on various aspects of mental health and
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of auditory stimuli and creation of stimulation sequences 5) Implementation of pilot studies in adults and infants 6) Programming analysis algorithms for FFR, MMN and statistical learning, based on spectral and
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research university in Atlanta, Georgia, with world-class programs in public health and infectious disease research. The fellow will be based in the Department of Biostatistics and Bioinformatics and