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Doctor of Philosophy (PhD) in Machine Learning for In Situ Materials Characterisation Job No.: 698995 Location: Clayton campus Employment Type: Full-time Graduate Research Degree: 3291 - Doctor
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status of northern Australia's remarkable lizard fauna under climate change, invasives and habitat loss. (Lab: https://www.chapplelab.com ) Why is genetic variation for fitness so high? (A/Prof. Tim
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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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, Clayton campus, Melbourne, Australia Remuneration: The successful applicant will receive a tax-free stipend, at the current value of ~ $41,100 per annum 2027 full-time rate, as per the Monash Research
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semiconductors” (https://irtg-optexc.de/ ). As part of this program there is the opportunity for students to undertake fully funded joint degrees with the University of Bayreuth in Germany in the areas
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current value of $37,145AUD per annum 2026 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at: https://www.monash.edu/graduate-research/future-students
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Location: Clayton campus Employment Type: Full-time Duration: 3.5 years fixed-term appointment Remuneration: The successful applicant will receive a Research Living Allowance, at current value
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biology, molecular biology and animal models to investigate how these hybrid cells favour carcinogenesis. Where to apply Website https://app.smartsheet.au/b/form/019eedeef91978fdbc2b67718479eac6?project_id
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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successful. To be eligible, you must be an Australian or New Zealand citizen or Australian permanent resident. Please see other eligibility requirements and other details at the following link. https