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learning, artificial intelligence, statistical computing, data visualisation, computational statistics, or data science, who are excited to contribute to our world-class research, innovative teaching, and
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analysis and reporting, participate in continuous improvement initiatives, and build strong relationships with internal teams and external partners to ensure seamless program delivery and alignment with
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This project involves the automated generation of textual descriptions for audio content, such as spoken language, sound events, or music. This process typically employs deep learning techniques, such as recurrent neural networks, transformer models, and so on, to analyse audio signals and...
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with generous top-up scholarships. We're looking for talented students with a background in mathematics, computer science, statistics, economics, engineering or other related fields. These positions
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ideas through implementation science and health research The Opportunity The School of Nursing and Midwifery has two exciting Research Fellow positions available to contribute to the ENGAGE Project
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, artificial intelligence, statistical computing, data visualisation, computational statistics, or data science, who are excited to contribute to our world-class research, innovative teaching, and growing
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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placements at the forefront of sustainable chemistry, catalysis, and advanced manufacturing. Current available projects are: Mechanochemical Synthesis of Single-Atom-Catalysts (SMC) (Faculty of Science
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PatchSentinel-X: Transformer-Based Security Patch Intelligence for Vulnerability Lifecycle Assurance
++, Java, or Python code, Basic static analysis tools such as Semgrep, CodeQL, or SonarQube Nice to Have CodeBERT, CodeT5, or GraphCodeBERT, Program analysis, Data-flow and control-flow understanding
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Casual Senior Research Officer - Interactive Machine Learning Web Development Job No.: 697404 Location: Clayton campus Employment Type: Casual Duration: 16-weeks Remuneration: HEW 7, $65.09 per hour (loaded casual rate) Amplify your impact at a world top 50 University through innovative...