33 learning-"Computer-Vision-Center" "Computer Vision Center" Undergraduate positions
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learning and/or computer vision libraries (e.g., PyTorch, TorchVision, OpenCV, scikit-learn). Familiarity with data handling and statistical analysis (NumPy, pandas, SciPy, Matplotlib) Preferred
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, you have experience with Python, computer vision, image processing , or machine learning. Experience with PyTorch, image embeddings, vision-language models, OpenCV, or vector similarity search is a plus
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autonomous systems, intelligent decision support systems, computer vision, sustainable farming, and water and natural resource management. Responsibilities: Establish and lead a nationally recognized
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autonomous systems, intelligent decision support systems, computer vision, sustainable farming, and water and natural resource management. Responsibilities: Establish and lead a nationally recognized
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computer science, mathematics, or a related field with a focus on machine learning and ideally computer vision Profound knowledge of Python is strictly required and will be tested during the interview
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learning and computer vision. The main focus is on semiconductor manufacturing and medical technology. Do you have a passion for developing application-oriented computer vision pipelines for
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researching mobile and optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of
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) English (United States) MY PROFILE / LOGIN > More Search Options Loading... Clear Create Jobalert Apply now » City: Berlin Date: Oct 6, 2026 Student Assistant Computer Vision/Deep Learning The
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Previous Job Job Title Student Center Building Manager- Institutional Student Worker Next Job Apply for Job Job ID 305198 Location UNG-Dahlonega, GA Full/Part Time Part-Time Regular/Temporary
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mobile and optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research