115 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD positions in Australia
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Duration: 3.5-year fixed-term appointment Remuneration: The successful applicant will receive a tax-free stipend of $37,145 per annum (2026 full-time rate), as per the Monash Research Training Program (RTP
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results. Once validated, numerical modelling will be conducted to assist the reactor design. The objectives of this industry co-funded PhD program also include an internship at the industry partner site
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). This grant will fund the PAtient-Centred Evaluation of medical devices (PACE) program for the next 5 years. The PACE project aims to improve how medical technologies are assessed by involving patients and
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inference. PhD Program The project is based in the Centre for Health Economics, a large and active economics research group within the Monash Business School in Melbourne, Australia. As a candidate in the CHE
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Merit Based Value CSIRO shall award the student an iPhD Program Scholarship annually (GST exempt), starting at $35,020 in the first year, indexed at 3% annually, for a maximum of 4 years. This is
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to Politics for Women has opened applications for its nationally recognised program. University Activities 4 Mar 2026 A 690-million-kilometre journey through space ends for Australia’s SpIRIT mission After
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research within the framework of the funded program. This project seeks to research, locate and reveal peoples’ experiences of polio to link personal accounts to the meta-narrative of health and illness
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, RNA sequencing and extracellular vesicle analysis to explore this knowledge gap. The project is situated within the Hunter Medical Research Institute ‘Infertility and Reproduction Program’ at
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qualitative and/or quantitative data analysis. Exposure to policy and program development in an Aboriginal community-controlled organisation. Contribution to real-world projects with measurable community impact
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) before the human eye can see them. The principal aim of this PhD research program is to develop methods to improve the hyperspectral image classification using deep learning techniques. The developed