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PhD Scholarship in History Job No.: 684435 Location: Clayton campus Employment Type: Full-time Duration: 3.5 years fixed-term appointment Remuneration: The successful applicant will receive a
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applicant will receive a Research Living Allowance, at current value of $36,063 AUD per annum 2025 full-time rate (tax-free stipend), indexed plus allowances as per RTP stipend scholarship conditions at
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program, leading to joint PhDs with degrees from both universities. Applications are sought from outstanding candidates with backgrounds in chemistry, physics, materials science and related disciplines
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
appointment Remuneration: The successful applicant will receive a Research Living Allowance, at current value of $52,352 AUD per annum 2025 full-time rate (tax-free stipend), indexed plus allowances as per RTP
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Areas The research team welcomes applications from highly motivated candidates interested in contributing to the ARC Discovery Project. While applicants are encouraged to propose their own ideas
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, or to enter and stay in Australia, without any limitation as to time. Applications are due by 31st May and 31st October each year. If you are interested, please contact Prof Kim Marriott, Director of MATS
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and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering To be eligible to apply for domestic postgraduate research scholarships an applicant must be
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of Philosophy ● 3292 - Master of Engineering Science (Research) Candidate Requirements Applicants will be considered provided they fulfil the criteria for Masters by Research & PhD admission at Monash University
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applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to these various dangers, to inform the design of, and test, mathematical models that will be generally applicable across a larger cross-section of important species of bacteria. Modelling Evolution – Predicting