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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 15 hours ago
will look into multivariate extensions, e.g., predicting joint distributions instead of marginals as done in time-series forecasting with equivariant parametrization [8] or diffusion processes [7
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these studies will be integrated into a unified hydration classification framework. The candidate will contribute to the development of statistical and analytical approaches, including multivariate modelling and
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typical reading development and children with reading problems or disorders, eye-tracking, rapid frequency tagging, multivariate analysis, time-frequency analysis, source modelling and robust quality
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coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD
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specific requirements: a) Experience in the application of data analysis and machine learning methods to scientific data (e.g. multivariate analysis, chemometrics, neural networks, classification
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coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD
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coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models (strongly preferred) Interest in applying to a quantitative PhD
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sedimentological (grain size distribution), geochemical (XRF, ICP-OES, C/N), and soil physical (density, pore volume, water conductivity) analyses in the laboratory, multivariate statistical evaluation of the data
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psychology, reskilling or generative AI at work. Strong quantitative or mixed-methods skills and interest in measurement and longitudinal organisational research. Experience with surveys, multivariate analysis
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and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix