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an important part of a Monash AI institute collaboration between the Arts and IT faculties around technology for orientation and mobility for Blind and Low Vision people. The PhD project will undertake
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student enrolled in Bachelor of Biomedical Science Industry Honours (M3702), Bachelor of Science Industry Honours (S3701). WAM 70+ Benefits $10,000 paid in 2 equal instalments, for one year only. Number
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of Agricultural Sciences. Are you eligible to apply? To be eligible to apply for this scholarship, applicants must: be an Australian citizen or Permanent Resident be enrolled full time in your final or honours year
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Large language models increasingly adapt using external feedback to alter inference-time behaviour, persistent state or model parameters. However, the signals that drive these changes may be noisy, biased, incomplete, delayed, correlated with the model’s own errors, or progressively underused...
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Large-scale ERP transformations don't manage themselves - and Monash Finance is looking for a Senior Project Manager who knows exactly what it takes to deliver complex technology programs in a high-stakes
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Role type: Part-time (0.8 FTE) to Full-time; Continuing Faculty: Medicine, Dentistry and Health Sciences School: Melbourne Dental School Salary: Level D: AUD $183,859 - $202,556 p.a. Level E: AUD
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Primarily based at Melbourne City campus, and the potential to work across other RMIT campuses as required About the Role Join RMIT's School of Engineering and contribute to an industry-connected CRC-P
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Arrangements Primarily based at Melbourne City campus, and the potential to work across other RMIT campuses as required About the Role Join RMIT’s School of Engineering and contribute to an industry-connected
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Engagement: Participate in departmental workshops, research committees, and occasional research-aligned teaching development activities. What We’re Looking For Qualifications A PhD in Computer Science
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of foundation models in natural language processing and computer vision, this project seeks to develop general-purpose graph foundation models capable of learning transferable representations from large-scale