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the following fields: data science; digital humanities; quantitative political science; computational sociology; legal history; or a related discipline involving experience in data analysis, public policy
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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bioinformatics, computational biology, genomics, evolutionary biology or a related discipline. Essential skills include experience with genomic data analysis, proficiency in Python and/or R, familiarity with
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communicate research on the activity patterns underlying integration in the visual cortex. Activity: Acquisition and analysis of electrophysiological data, oral and written scientific communication. Where
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implemented to optimize real-time pathogen surveillance and support public health decision-making. Bioinformatics analysis of sequencing data (Nanopore) • Read filtering (quality, barcodes), demultiplexing
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interpret dynamic visual signals. The successful candidate will contribute to experimental design, computational analysis of behavioral data, and the integration of biological insights with robotic systems
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of the collected data, to visualize the results using computational tools. The analysis should be conducted within the framework of grammatical and constructional typology. As for the source of data, they will
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12 Sep 2026 Job Information Organisation/Company CNRS Department Biotechnologie et signalisation cellulaire Research Field Chemistry Physics » Biophysics Biological sciences » Biological engineering