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throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those organisms are responsible
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of offset measures and definition of data collection protocols to answer them Statistical analysis of biodiversity monitoring data Drafting of protocols Drafting of reports for funders, international
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or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria Knowledge : - Very good knowledge in Python - Good knowledge in statistics
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, and troubleshoot complex numerical models in HPC environments. • Develop and implement new parameterizations for atmospheric emissions and microplastic processes. • Perform statistical and geospatial
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these projects Francesca Vidussi and Behzad Mostajir. This project will use several statistical data processing techniques to assess the health of these two study sites and the effects of global warming
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). • Advanced quantitative analyses (machine learning, computer vision, multilevel statistics). • Creation and use of Python code for advanced analyses. • Management and monitoring of complex transgenic lines
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a team More specifically: - For mission 1: knowledge of signal and image processing, machine learning (PyTorch or TensorFlow + NumPy/SciPy), statistical processing & data and results visualisation
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• Analyzing the produced data (quantification, statistics, etc.) • Communicating with collaborators The Institut de Biologie de l'ENS (IBENS) is a fundamental research center conducting original studies
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; - interact closely with the team of Dr. François Robin (Sorbonne University), project partner for the development of experimental results and bioinformatics approaches; - develop statistical tools
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programming languages such as Python, Fortran, C, C++, etc.; statistical physics of liquids, etc.). A good knowledge of spoken and written English is also required. Website for additional job details https