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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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, enabling proactive measures against potential threats. Required knowledge Python programming Machine learning background
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commitment to documentation, reproducibility, and continuous improvement Experience in university IT operations or research environments will be highly regarded. About Monash University At Monash , work feels
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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with industry partners and/or grant programs. Working closely with Lead Investigators from Monash University and the University of Warwick, as well as academic teams and PhD students across Monash
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to learn robotics or human-centered research methods will also be considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS
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, Singularity), orchestration (Kubernetes, Slurm), CI/CD pipelines Knowledge of GPU architecture, performance optimisation, and profiling tools About Monash University At Monash , work feels different. There’s a
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in how data drives discovery. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen
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desirable but not essential. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen. We
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contribute to impactful research initiatives. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things