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transformative work in artificial intelligence, machine learning, and data science, work that’s improving lives, informing policy, and driving industry forward. We’re proud of our inclusive culture, and we
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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identified climate change and health themes. The Senior Research Fellow will play a crucial role in conducting high-quality research, securing funding, growing AI and machine learning internal capability and
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processes and systems. Additionally, you will have well-developed written and verbal communication skills, high-level computer literacy, as well as demonstrated abilities to set priorities, manage time and
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in teams, handle sensitive information with discretion, and possess advanced computer literacy. An understanding of Jewish communities and culture, along with experience coordinating community-focused
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manage multiple priorities effectively, while your computer literacy and experience with financial systems, especially SAP, will support your technical performance. A sound understanding of GST in a
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institutional policies. To be considered for this role, you must hold a doctoral qualification in operations research, operations management, business analytics, data science, machine learning, or a closely
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The proposed PhD project aims to build a machine learning/deep learning-based decision support system that provides recommendations on precision medicine for paediatric brain cancer patients based
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Associate Professor - Electrical and Computer Systems Engineering Job No.: 678997 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $175,487
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized