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live in. Your role Research related to the following areas: Mathematical statistics, Machine Learning, High-dimensional statistics, Robust estimation methods, Probabilistic foundations of mathematical
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26 Mar 2025 Job Information Organisation/Company Université Grenoble Alpes Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country France Application Deadline 8
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advanced statistical analysis Expertise in youth research is an asset Proficiency in data processing and analysis software (e.g. R, Stata, Python, SPSS) Proficient in at least two of the following languages
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profile PhD (awarded within the last 5 years) of high quality, ideally in machine learning (in the broad sense), complemented by a strong mathematical foundation in probability and/or statistics Research
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, Statistics, Epidemiology or related disciplines Experience in handling longitudinal and birth-cohort datasets Extensive experience in quantitative research (Stata, R, Python, etc.) Fluent in English (speaking
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of the genomics and transcriptomics component, from DNA/RNA extraction to bioinformatics processing of the sequences and statistical analysis of the data. Finally, the person recruited will be responsible
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the Institute of Applied Physics in Florence, Italy (IFAC) and to conferences in Europe to present scientific results. Knowledge of inverse methods, statistics or machine learning Knowledge of remote sensing from
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. Where to apply E-mail ludovic.orlando@univ-tlse3.fr Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications A Ph.D. is required in statistical genomics
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dosimetry, statistical modeling of exposure, stochastic dosimetry and artificial intelligence, influence of network technologies and architectures on exposure, standardization of exposure assessment methods
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to guarantee their statistical properties and apply them to evaluate state of the art models of human visual perception. You will use the insights to improve the evaluations of models and the models themselves