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for plants and Physics. A background in plant ecophysiology would be ideal, but is not required. · You have programming experience, knowledge of Python and Git is a plus. · You have a
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: Extensive experience in machine learning methods, tools, and platforms. Proficiency in Python, with demonstrated software development experience. Hands-on experience in MLOps, including the design and
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Composer Studio. · Solid understanding of programming languages, particularly C# and Python. · Proficient in control systems design and analysis using MATLAB. · Excellent communication
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, multi-level, discrete choice behavior modeling…) based on statistical software (R, STATA or SAS) ;Excellent skills in GIS and Python are an asset ;Excellent communication and collaboration skills
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Python, Pytorch, HyperSim. Background in AI techniques and tools Excellent communication skills and the ability to work effectively in a multidisciplinary and collaborative environment. Language skills
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prototyping (dSPACE and OPAL-RT); Background in communication networks and protocols; Familiar with networked controllers and meters; Proficiency in programming languages such as Python, Pytorch, HyperSim
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of specialized courses or certifications in machine learning, deep learning, and artificial intelligence from reputable institutions is an asset ;- Programming skills in languages such as Python or R ;- Experience