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expression, clustering, dimension reduction, pathway analysis, survival analysis, and multivariable modeling. Strong analytical, organizational, and problem-solving skills. Ability to work independently while
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; survey design and online experimental methods; quantitative data analysis, preferably including choice modelling, willingness-to-pay analysis, segmentation, multivariate statistics, or related methods
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
combines computational modelling, high-resolution 7 Tesla fMRI, multivariate neuroimaging analyses, and experimental paradigms from cognitive neuroscience. The overarching aim is to understand how
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baths, monitoring dye uptake, and evaluating color responses. Beginning or intermediate experience with statistical modeling or machine-learning methods, especially for exploring multivariable
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, multivariable regression, and/or high-dimensional biomarker analysis. Excellent written and oral communication skills. Demonstrated ability to work independently and collaboratively in a multidisciplinary
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well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
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months. Preferred Skills: A background in computer and/or data science with some experience in machine learning, multivariate statistical analysis, artificial intelligence, or computer programming. Some
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
modelling, high-resolution 7 Tesla fMRI, multivariate neuroimaging analyses, and experimental paradigms from cognitive neuroscience. The overarching aim is to understand how the perirhinal cortex supports
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interventions. Excellent command of advanced statistical methods, including longitudinal data analysis and complex multivariate analyses (e.g., structural equation modelling, SEM). Experience working
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and metagenomic data. compile, manage, and analyze datasets with appropriate statistical methods including univariate and multivariate methods. lead preparation and publication of peer-reviewed