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data analytic studies and preparing data for analysis and be proficient in using R, Python or similar programming language. You should have the ability to write clearly and concisely with a good
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into actionable insights. Programming: strong skills in languages such as Python and C#. Applied data science: solving real-world challenges using Machine Learning and Artificial Intelligence techniques. Business
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listening or immersive media Strong communication skills, documenting research code/data, stakeholder reporting, and collaborating across technical and creative disciplines Strong programming skills, Python
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Python and C++ with relevant computer vision, signal processing, machine learning and/or deep learning tools (TensorFlow, PyTorch, Keras, OpenCV etc.). A track record of publishing academic papers, open
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creative disciplines Strong programming skills, Python frameworks for ML and real-time audio software Curating audio datasets, spatial-audio/audio-visual recordings, and ML training/evaluation pipelines