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FieldAstronomyYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in astrophysics or a related field. - Experience in data analysis. - Proficiency in Bayesian statistics and nonparametric
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in R or Python Desired - evidence of strong computational skills and large dataset analysis - experience with hierarchical Bayesian modeling - expert knowledge of plant functional ecology - fluency in
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lattice orientation by EBSD or local chemical composition by EDX [1]. For instance, an original protocol based on Bayesian inference was recently co-developed by LEM3 and ICA to determine the single-crystal
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stimulated luminescence (OSL) dating of sediments and rocks, palaeoseismology, megaliths, Bayesian chronological modelling, archaeoseismicity, stable continental regions (SCR), Armorican Massif. Context and
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stochastic modeling, Bayesian inference, data fusion and modern machine learning. Its research activities span various application domains such as security, non-destructive testing, infrared imaging and
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- Strong skills in statistical modeling using Bayesian methods - Skills in developing integrated population models - Skills in animal population demography and dynamics - Previous experience working