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towards this requirement. Technical Skills or Knowledge: Proficiency in Python and other related software, such as MATLAB, R, Julia, SQL, and data analysis/optimization libraries. Preferred Competencies
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Linux and a programming language (C/C++ or Python) is a plus but not mandatory. Location: PROMES CNRS Laboratory – Perpignan site Starting date: April 1st , 2026 at the latest Salary: Minimum gross
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., using Python). - Strong interest in research and modeling approaches. - Ability to work in a team at LSCE, IPSL, and within the AMACLIM project. - Synthesis skills (literature review, analysis of model
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Solid mathematical foundations and strong programming skills Proficiency in Python and experience with deep learning frameworks such as PyTorch Ability to work independently and take initiative in driving
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is an asset. Experience with R, Python or other data analysis tools is an asset. You are enthusiastic about conducting both fundamental and translational research within a multidisciplinary team. Your
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of biomass conversion technologies. Experience in programming with Python. Experience in Life Cycle Assessment. Experience in techno-economic analysis. Experience in scientific writing and communication
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hardware design: Verilog/SystemVerilog RTL, logic synthesis, and place-and-route Be familiar with Python programming Have a working proficiency in English. (Finnish language is not required.) The following
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Experience in LLMs and developing LLM-based methods is an advantage Programming skills, ideally in Python Structured, analytical, and independent working style Reliability, attention to detail, and enjoyment
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using R and/or Python, with experience in data analysis, computational workflows (e.g. Snakemake, Nextflow), and relevant computational libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch
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networks, or coupled multi-energy systems Proficient in programming, especially in Python; experience with C/C++ is an advantage Interest in scientific software development, large-scale infrastructure