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Tecnologia - IIT ( https://www.iit.it/research/lines/neurodevelopmental-disorders) , led by Dr. Michael Lombardo, is looking for 1 talented Post-doc as part of ongoing research understanding multilievel
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Umeå Proteomics Platform. https://www.umu.se/en/research/infrastructure/umea-proteomics-platform/ The project is led by Sandra Jämtgård, Department of Forest Ecology and Management, SLU in
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microbial ecology, fungal biology or conservation. Experience with fungal community, genomic or transcriptomic analyses Knowledge of multivariate analyses and statistical modelling Excellent
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excellence. For more information, please visit https://www.tamiu.edu/. This is a fixed-term, non-tenure-track, nine-month Instructional Assistant Professor of Systems Engineering position. Initial
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, and Python and will use advanced statistical analysis including multivariate methods, data reduction techniques, structural equation modeling, survival analysis and Bayesian hierarchical imaging
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supervision Experience with statistical analysis software (e.g., SAS , SPSS , R, or STATA ) for program evaluation models, multivariate and other analyses Preferred knowledge and expertise: Knowledge and
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supervision Experience with statistical analysis software (e.g., SAS , SPSS , R, or STATA ) for program evaluation models, multivariate and other analyses Preferred knowledge and expertise: Knowledge and
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Friedrich Miescher Institute for Biomedical Research | Basel, Kanton Basel-Stadt | Switzerland | 28 days ago
, biology or related fields, with formal training in statistics and multivariate data analysis. You have strong programming skills, including knowledge of algorithms, data structures, and signal
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data/routinely collected health data to prepare research-ready population-based datasets - Experience in advanced statistical techniques to analyse large datasets, e.g. multivariate statistical
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, namely UV-Vis, fluorescence, FTIR, NIR, Raman or other techniques applied to the characterisation of chemical, food or biological matrices. • Knowledge of chemometrics and multivariate data analysis