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knowledge of basic techniques in molecular biology. Working knowledge of R and Python programming environments. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5284-FABLEG-002
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. • PIC simulation codes. • Data analysis using C++/ROOT and/or Python. • Detector simulation using GEANT4. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7638-ARNSPE-001
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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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in Python, PyTorch/TensorFlow, and medical visualization tools (e.g., 3D Slicer, ITK-SNAP, MONAI...). - Mastery of deep learning platforms Tensorflow/Pytorch/scikitlearn - English: high level Website
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Python, including use of data analysis libraries such as pandas and scikit-learn Experience with Large Language Models (LLMs): using APIs (e.g., OpenAI, HuggingFace), or local models (e.g., Ollama
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or equivalent Skills/Qualifications Knowledge: Heat and mass transfer, thermodynamics, process engineering Skills: Experimental measurements and proficiency in LabVIEW, Python, or Scilab (appreciated) Personal
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. Knowledge in fluid mechanics would be a plus Proficiency in Python (at least, one among: Julia, Matlab, or R) Knowledge n Fortran (or C) Being comfortable with version control and code sharing tools (git
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, Python, LabVIEW, or similar tools). Soft skills: Capacity to work independently while contributing to a collaborative and interdisciplinary team. Strong analytical and problem-solving skills. Good written
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algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran
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independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran) Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8518-MARLIE-021/Default.aspx Work