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PhD Scholarship Opportunity – Safe and Sustainable Electrolytes for Next-Generation Rechargeable Metal Batteries Job No.: 696214 Location: Clayton campus, Monash University Employment Type: Full
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Duration: 3.5-year PhD scholarship, subject to Monash University scholarship conditions Remuneration: The successful applicant will receive a Research Living Allowance, at current value of $ 37,145 AUD per
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systems. Eligibility Requirements: Prospective applicants must satisfy Monash University PhD entry requirements as outlined in the Monash Graduate Research Admission Procedure , this includes: A bachelor’s
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Australian Research Council and industry-funded PhD scholarships across participating CREST Hub universities - which includes Monash University, UNSW (NSW), UTS (NSW) and ECU (WA). Research Areas Scholarships
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one-time member of staff of the then Department of English, Monash University. The Fund is administered by Monash University and provides scholarships specifically for the critical study of literature
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for an outstanding PhD candidate to undertake an Industry Linked PhD at Monash University in collaboration with Aervision Pty Ltd , an Australian AI company developing advanced video analytics solutions for critical
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candidates for PhD study in the Department of Data Science and Artificial Intelligence at the Faculty of IT, Monash University. As part of this scholarship, the successful candidate will develop novel
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available to domestic students only. Candidates will need to fulfil the Monash University minimum requirements for admission to a PhD detailed here: www.monash.edu/admissions/entry-requirements/minimum
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learning of Japanese in Australia. The MJLEH Scholarships support graduate researchers to complete a PhD at Monash University on a topic related to the acquisition and/or teaching of Japanese Language and
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web...