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avoiding one another or moving together. However, suitable statistical techniques for analyzing such data remain underdeveloped. Point processes offer a promising approach for studying short-term
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into LISA's data, and may involve the broader science community. Making unexpected discoveries with LISA data is a special challenge which inevitably involves statistically weighing the possibility
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of statistics is preferred. Experience with experimental work and molecular ecology methods is an asset. The candidate must demonstrate proven ability in independent scientific research and skills in writing
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spectrometry techniques available in the laboratory, as well as optimizing analytical methods if necessary; Performing advanced data processing, including statistical and multivariate approaches, and potentially
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models. The project will involve statistical, computational, and theoretical components, including: - derivation of environmental covariates that best reflect resource uptake processes above- and
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acquisition). Statistical analysis and computational modelling of cross-linguistic data from a developmental project investigating the emergence of an indefinite article in Hindi. Oral narratives have already
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obtained in monkeys on implicit statistical learning within our laboratory. • Mastery and adaptation of bio-inspired Hebbian learning models • Evaluation of the ability of these models to account for data
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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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Additional Information Eligibility criteria Knowledge : - Very good knowledge in Python - Good knowledge in statistics - Expertise in VHE high-level analysis - Knowledge in VHE gamma-ray and neutrino detectors
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in English, are also desirable. Finally, proficiency in statistical modeling tools will also be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5558-NATARB-112