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datasets; • Strong analytical and statistical skills (preferably in R or Python); ability to analyse spatial data (with GDAL/PDAL via R or Python) ; • Solid background in fire ecology, ecosystem functioning
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inference), strong programming skills in Python and experience with HPC environments. Experience with galaxy redshift surveys and/or gamma-ray astrophysics is desirable. We welcome applicants from diverse
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to the field - programming/coding in Python (Pytorch) - presentation of results at conferences - interaction with team members and international collaborators Where to apply Website https://emploi.cnrs.fr
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)chemistry and expertise in MD simulations, quantum chemistry or machine learning. Knowledge of biosystems, analysis skills (Python), scripting skills (bash and/or Python) and machine learning are assets
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. This project requires a good knowledge of the physics of US as well as some programming facilities (Mainly Matlab, Python but some C++ capacities are desirable). Skills in Artificial intelligence would be
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protocols (Python or dedicated software). You will join the NanoBioSurf team within the Laboratoire de Réactivité de Surface (LRS), as part of a CNRS prematuration program. This project aims to develop a
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Eligibility criteria - knowledge of LabView/Python interfacing and/or rf electronics is desired - experience with skyrmions would be a plus - experience in ferromagnetic resonance would be good -previous
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programming language (Fortran, Python, or equivalent). - Familiarity with high-performance computing (HPC) environments. - Good understanding of marine biogeochemical processes and air–sea gas exchange
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programming in R / Python (data pipelines, modelling, visualisation). - Programming in Scala (or equivalent language) for distributed and high-performance models. - Version control (Git), documentation
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, ideally applied to the impacts of climate change and/or the dynamics of infectious diseases. • Computer Science and Data Science: Proficiency in scientific programming (Python or R) for manipulating large