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laboratoire TIMA et sera co-dirigé par le CEA Grenoble. Le/la candidat(e) sera encadrée par l’équipe Inria MADMAX au sein du TIMA à l’origine du HPDCache et par le CESTI LETI, centre d’évaluation de la
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, Environmental Engineering, Maritime Engineering, or a related discipline. • Good programming skills in Python. • Experience in data analysis, scientific computing, modelling, or software development
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Engineering, Maritime Engineering, or a related discipline. Good programming skills in Python. Experience in data analysis, scientific computing, modelling, or software development. Knowledge of techno-economic
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identification through a structured literature review. Under the guidance of our researchers, you will re-implement and evaluate selected reference methods from current research (e.g. in Python or MATLAB
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across research, clinical, and operational domains Apply strong proficiency in Python and machine learning frameworks to build a platform that ensures reproducibility and scalability of advanced ML/AI
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from prototype to production, including containerization, model versioning, automated deployment, monitoring, and operational support. Strong backend development experience, preferably in Python
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, with an interest in probability theory, mathematics, and data science. Very good practical C++ and Python programming skills allow you to make your ideas happen. Very good command of written and
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achieve common goals. You’re proficient in using MS Office. You have experience analyzing measurement data using Python, Origin, R, or MS Excel. You plan and complete tasks independently and to a high