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knowledge of digital electronics and embedded systems. - Skills in FPGA design tools (Intel, Xilinx or Microsemi) and simulation tools (Modelsim). - Skills in data analysis tools (Python, R). - Skills in
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) is essential. Knowledge on programming (R, Python) and data visualisation would be an advantage. - English C1/C2 - Experience in writing peer-reviewed scientific articles is required. - The candidate
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, and develop new ones Technical proficiency: Pytorch, Pytorch lightning, JAX, MLFlow, GEANT4, Python, ROOT, NumPy, Matplotlib, LaTeX. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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Environmental and Planetary Sciences, with experience in scientific computing and fluid mechanics - excellent knowledge of scientific programming (Python, Bash) - experience in Big Data and statistical analysis
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, remote sensing), ideally with experience of large-scale studies (large watersheds, continental, global); strong skills in modeling, massive data management and statistical analysis (R or Python software
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the following background: PhD in climate science, physical oceanography, atmospheric science, or a related field. Ideally with experience in ocean carbon analysis Strong programming skills (e.g., Python, Fortran
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Information Eligibility criteria - Physics: good knowledge of particle physics analysis. - Programming: C++, ROOT, Python. - Technical skills: experience in DAQ and FELIX card development a bonus. - Language
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the interface between global, regional and local scales • Autonomy, creativity, reliability, ability to synthesize and work as part of a team • Computer skills: Unix, Python and R • English: very good oral and