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, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based
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foundations in applied mathematics, computer vision and machine learning, particularly object detection and tracking. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries
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. Matlab, Maple and/or Mathematica), and or statistical programming languages (e.g. R, Python), and/or online learning support systems (e.g. Canvas, EdStem and Webwork) Work Rights You must have unrestricted
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object detection and tracking. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience with dataset preparation, training
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as occlusions, crowded scenes, and object re-identification. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience
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, operation, and maintenance of network and communications infrastructure (e.g., BGP, MPLS, wireless LANs, IP Telephony, disaster recovery). Experience with scripting (e.g., Python, NodeJS, PHP) to achieve
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-disciplinary team in advancing applied research in 3D deep learning and forest science programming experience in Python and experience using deep learning tools such as PyTorch, Keras and/or Tensorflow ability
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metrics, or similar frameworks. Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high-performance computing (HPC
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role. Ability to teach and lead programs in areas related to sport analytics, sport data capture, performance analysis, data science, applied statistics. Proficiency in R and/or Python. Demonstrated
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(i.e. python, R) and toolchain (i.e. PyTorch, Tensorflow, Scikit learn, CARET) Experience translating research code into production code is a strongly desired bonus An understanding of how systems