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or experience in digital image processing, computer vision, machine learning, data science, or a related field. Familiarity with Python libraries such as NumPy, OpenCV, Matplotlib, or similar scientific computing
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OpenCV and data-driven pipelines to monitor, track, and analyze user skeletal information, attention data, and reaction times within controlled virtual environments. • Haptic & Hardware Design: Design, 3D
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, OpenCV, or vector similarity search is a plus. Across both profiles, experience with Linux and Git is essential, and experience with web interface and data visualization development to present results in
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in graphics and computer vision libraries such as OpenCV and OpenGL, as well as deep learning frameworks such as Pytorch or Tensorflow Good theoretical knowledge in the field of computer graphics and
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qualifications: Bachelor's degree in a relevant computational, biomedical, or engineering field. Experience with PyTorch, torchvision, scikit-learn, OpenCV, R, SQL, or cloud-based development tools. Demonstrated
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hyperspectral imaging is 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
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-learn, pandas). Proficiency in video and image processing (OpenCV). Knowledge of deep learning (TensorFlow, PyTorch). Experience with version control and collaborative development (Git/GitHub). Analytical
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Machine Learning e Computer Vision; Knowledge of Deep Learning (i.e., Pytorch, Tensorflow, JAX) and Computer Vision (e.g., OpenCV, MATLAB) frameworks/toolboxes; Basic knowledge to develop and deploy edge
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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering
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ultrasound sensing and hyperspectral imaging is necessary. Proficiency in Python programming, particularly with Python libraries such as Spectral Python (spectral), NumPy, SciPy, and OpenCV and familiarity