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into the manifestations, causes, and treatment of schizophrenia. Essential Functions: • Developing new statistical methods to model multimodal neuroimaging data, multi-omics data, electronic health record (EHR
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to join the AI for Genome Interpretation (AI4GI) group at the IGMM (CNRS, Montpellier). The project is a collaboration between IGMM and IMAG, at the interface of genetics, bioinformatics, statistics
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of Mathematics & Statistics 221 Parker Hall Auburn, AL 36849 Web Page: http://www.auburn.edu/academic/cosam/departments/math
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matter properties Physics » Statistical physics Physics » Computational physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline 6 Feb 2026
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and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical displays of results and manuscripts for publication. Basic Qualifications
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to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput metabolomics, time-lapse
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size and density approaches. Demonstrated experience in infrared spectroscopy of soils and use of multivariate statistical models to predict soil properties. Experience in process-based models
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Molecular Genetics. Candidates with interests spanning statistical genetics, neuroimaging data analysis and developmental neuroscience, and the study of etiological heterogeneity in the developmental
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materials characterization (XRD, Raman, SEM-EDS, TGA, PSD, BET, ICP). Apply Design of Experiments (DoE) and statistical optimization tools to improve processes within the main project and across other ongoing
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or related disciplines. They should have a strong quantitative background; experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis