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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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Status: Closed Applications open: 3/07/2024 Applications close: 3/10/2024 View printable version [.pdf] About this scholarship Description/Applicant information CSIRO's Industry PhD (iPhD) program
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PhD Develop transferable professional skills Get access to specialised expertise, equipment and training The CSIRO Industry PhD Scholarship (iPhD) Program is an industry-focused, applied research
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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to complete a PhD on the multiple and contested practices, norms, and understandings of GenAI among academic users in their research and publishing activities. The scholarship is part of the Generative AI and
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the project team listed in ‘Our People’ above. It is anticipated that the successful candidate will have enrolled into and commenced the PhD program by June 2022. Prospective applicants can obtain
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PhD Scholarship – Feasibility, Acceptability and Utility of a Person-Centred Behaviour Change Program to Slow Cognitive Decline in Older Adults Job No.: 677725 Location: Clayton campus Employment
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the Division of Research and Innovation as part of the co-investment from the University of Adelaide. This program will support ten full-time PhD students commencing studies from 2025 to 2027. In 2025, we
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What you'll receive You'll receive a stipend scholarship of $32,500 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. This is the full-time, tax-free rate. If you're