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conversion, modelling and control of power converters, simulation and programming tools (e.g. MATLAB, Simulink, Python), or related research areas will be considered an advantage. Strong analytical skills, a
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(Belgium) are possible. The tracker module integration work will be carried out mainly at IP2I in the clean room dedicated to the project. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5822
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Director), project stakeholders, and representatives from the overseeing agencies. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR144-MARDUM-005/Default.aspx Requirements Research
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of a PhD · Expert knowledge of statistical modelling, statistical inference and use of relevant software (e.g. R/Python) both for data processing, visualisation and programming. · Excellent communication
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and manage experimental data are essential Prior exposure to manufacturing processes, materials testing, or data analysis (e.g., Excel, MATLAB, or Python) The student should be reliable, able to follow
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amplitude parameters; Developing Python software for the analysis, visualization, and processing of experimental data; Contributing to the implementation and optimization of data acquisition systems
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Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image
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evaluation with BER/throughput/bandwidth constraints). Demonstrated experience implementing research software (Python; and/or C/C++) and running simulation studies. Familiarity with modern machine learning
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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, renewable energy integration, or distributed energy systems. Spoken and writing capabilities in Spanish, Catalan and English. Preferred: Working knowledge of Python or other similar languages. Used to with