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Vision (CV): Proven ability to apply object detection and style classification using libraries like OpenCV. â— Cloud & HPC Infrastructure: Experience configuring and managing environments in AWS/Azure
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in C/C++ and/or Python, using computer vision libraries (OpenCV, PCL) and machine learning libraries (TensorFlow, PyTorch). 3.7. Official qualifications: · Undergraduate degree in Robotics Engineering
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programming skills, particularly in Python, and experience with relevant frameworks and libraries such as PyTorch, PyTorch Geometric, and OpenCV. Practical experience implementing machine learning, computer
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Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image or video analysis.
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or OpenCV Specific Requirements The successful candidate will be expected to: • Design and perform high-content and live-cell imaging experiments using macrophages infected with fluorescently labelled
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, OpenCV, PyQt, Gradio etc). The candidate is expected is have a strong numeric and analytical background. Competent in information visualization. A working knowledge of Adobe Illustrator is a strong
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highly desirable. For NeuroAI focus: Proficiency in popular deep learning, computer vision and/or user-interface software frameworks (such as Pytorch, TensorFlow, OpenCV, PyQt, Gradio etc). The candidate
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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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). Experience with human-factors instrumentation and data streams: eye tracking, physiological sensors, and motion capture. Familiarity with data/video coding tools and computer vision (e.g., OpenCV, scikit-learn
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
. Experience in machine learning and computer vision frameworks, such as pytorch, opencv, or scikit-learn. Experience in computational psychology or interdisciplinary collaboration. Basic knowledge of cameras