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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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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision
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This PhD research scholarship (Learning Lessons from Drug Resistance to Tackle Herbicide Resistance) is funded by the Australian Research Council to support a full-time PhD student to undertake
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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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Australian citizen or Permanent Resident, or a New Zealand citizen. Meet university English language requirements. Not have previously completed a PhD. Be able to commence the Program in the year of the offer
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example, a Research Training Program (RTP) scholarship or other primary scholarship of similar value; not be in receipt of any other Top-Up scholarship; be available to commence with CSIRO prior to 30 June
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knowledge of health economics, but this is not a requirement as training will be available throughout the PhD program. Stipend: The scholarship will be for 3.5 years and has a stipend of $35,300 (indexed
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for the scholarship, the applicant must: Hold (or be completing) a Masters of Research or first-class Honours degree in physics, chemistry or a related discipline Have some research experience involving computation in
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delivery, Pharmacology, Pharm-Biotechnology, Nanomedicines, or equivalent from a recognized University. Via the following link (via RMIT website) https://bitsrmit.in/study-with-us/bits-rmit-phd-program/apply
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to three years of study (with the potential for extension) Scholarship Details Maximum number awarded 1 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program