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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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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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at least one of the following programming languages: bash script, C, C++, Java, Python, JavaScript. Assemble/solder low-powered leads for laboratory equipment. Demonstrated knowledge of current Occupational
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. 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 effectiveness
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. Practical experience in scripting languages, for example R, python or bash Proven work experience in bioinformatics, statistics and/or data science relevant to proteomics and protein analysis, including using
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to the development and maintenance of science data processing pipeline solutions. This role suits an expert Python programmer with experience in scientific workflows and high-performance computing (HPC), who thrives
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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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and Python, and experience with Bayesian modelling and time series analysis. A track record of research outputs, including publications or presentations at national or international conferences. About
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: Proficiency in Python, R, machine learning, and image processing Experienced with spatial data, GIS tools, and sensor datasets (e.g. LiDAR, hyperspectral) Strong collaborator with excellent communication and
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, computer vision and machine learning, particularly object detection and tracking. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit