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a modeling approach inspired by statistical physics to describe individual strategies, their interactions, and emergent effects at the group scale. The candidate will contribute to the development and
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to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation
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their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps. The project emphasizes spectroscopic galaxy surveys—in particular
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of scientific and technical potential (PPST) and therefore, in accordance with regulations, requires your arrival to be authorized by the competent authority of the MESR. Where to apply Website https
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of results at conferences - interaction with team members and international collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning
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Description RESEARCHER PROFILE: Postdoc/R2: PhD holders RESEARCH FIELD(S)1: Environmental Science MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Biological sciences, geography JOB /OFFER DESCRIPTION The ClimatFeux
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Mathematics » Mathematical analysis Mathematics » Mathematical logic Mathematics » Number theory Mathematics » Probability theory Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country
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silico identification of candidate developmental pathways explaining tradeoff variation. Contribute to advanced statistical analyses and interpretable machine learning approaches (in collaboration with
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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5 Jan 2026 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Physics » Computational physics Physics » Statistical physics Researcher Profile