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or environments. This approach enhances surveillance capabilities, offering a means to attribute suspects based on behavior rather than appearance. Required knowledge Python programming Machine learning background
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networks that can be trained to do machine learning and AI tasks in a similar way to artificial neural networks. In this project you will develop machine learning theory that is consistent with the learning
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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and implement MDS, the headspace data collection and registration tool computer literate, with familiarity with the Microsoft Windows environment and Microsoft Office applications and capacity to learn
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Workflow Language). Experience using data processing environments and platforms (e.g. NCI, ARDC Nectar Research Cloud, JupyterLab, Neurodesk) and with machine learning (Torch/PyTorch). Clear communication
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required: A university degree in computer science, software engineering, machine learning or Natural Language Processing (NLP). Minimum 12 months full time experience with GPT4 Large Language Model (LLM
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Institute for Teaching and Learning Innovation (ITaLI) Bring your experience and understanding of the academic quality assurance regulations to join us in this exciting opportunity involving new
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Workflow Language). Experience using data processing environments and platforms (e.g. NCI, ARDC Nectar Research Cloud, JupyterLab, Neurodesk) and with machine learning (Torch/PyTorch). Clear communication
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, applicants must also have an undergraduate or postgraduate qualification in computer science, information technology, machine learning, artificial intelligence, software engineering, or a closely related
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have experience supervising staff, motivating teams and fostering a strong customer‑focused culture. Advanced computer literacy and strong planning and organisational capability round out your skill set