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employment. You should have good programming knowledge and experience with Python to conduct data analysis (like, for example, PyTorch, OpenCV, NumPy, MatPlotLib, Pandas, Pillow). Having experience with
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EU programme Reference Number AE2026-0227 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt
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data leakage, identify potential biases, and enhance model explainability. programming experience in Python, including PyTorch, OpenCV, Scikit-learn, Pandas, Numpy, Matplotlib, HuggingFace and MLflow
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OpenCV, GPU-accelerated inference, Docker, and modern software engineering practices. Interest in computational neuroscience, translational research, and cross-species behavioural analysis. Strong
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necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity with at least one engineering design software
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-doctoral researchers, visiting researchers, master's students, etc.) The AI-HERBAGE project, part of the PEPR AGROÉCOLOGIE & NUMÉRIQUE ( https://www.pepr-agroeconum.fr/les-projets-finances/traitement-de
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, including PyTorch, OpenCV, Scikit-learn, Pandas, Numpy, Matplotlib, HuggingFace and MLflow. Workplan and the objectives to achieve: This project focuses therefore on current, wave and offshore wind
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Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity with at least one engineering design software such as MATLAB/Simulink, LabVIEW or similar software are required. Experience working on
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-language models, generative models, self-supervised learning, reinforcement learning, OpenCV, ROS/ROS2, or Linux would be useful but is not essential. Knowledge of facial behaviour analysis, human pose
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experience with PyTorch, OpenCV, etc. Motivation to independently delve into new and current research topics Interest in optimisation and evaluation metrics Interest in scientific research What we