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interacting with different departments and external companies, fluency in English and in French is necessary. Good knowledge in LabVIEW or Python is a plus. Website for additional job details https
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skills: Python programming; solid background in optimization and/or inverse problems; strong interest in signal processing, experimental data and physics-based modelling. • Important assets: experience
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, probability, linear algebra). * Programming expertise in Python, with experience in PyTorch or TensorFlow. * Familiarity with networking and edge computing (e.g., MEC, IoT, 5G/6G). * Analytical skills
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proficiency in programming languages is required (R, Python, or Fortran). The candidate must have demonstrated the ability to communicate results in scientific journals and at international conferences. Website
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particular simulation-based 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
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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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. 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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to structured programming in C++ and Python - knowledge of linux / unix operating system - fluent knowledge of spoken and written English - fundamental knowlegde of machine learning (and statistics) - good level