137 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions in Australia
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Local students applying for a place in a higher degrees by research (HDR) program will automatically be considered for an Australian Government Research Training Program (RTP) Fees-Offset (Domestic
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia
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annum for outstanding students). Additional financial support is available through research and teaching assistance work. The Opportunity Within the Integrated PhD Program, a PhD opportunity is available
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-class honours (H1) Bachelor’s degree or equivalent in the relevant research area (completed or near completion) have applied for admission to a PhD program at an Australian university or have completed
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awarded an Australian Government Research Training Program (AGRTP) Scholarship or equivalent. The successful applicant will have the opportunity to work with Casella Family Brands . Prospective candidates
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project within an NHMRC-funded program focused on dementia research. Using a systems biology framework, the project will integrate genomic and lifestyle data to identify key molecular pathways and risk
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possess translational symmetry, the role of structure and symmetry in glasses is not established. This research programme involves the development of new x-ray and electron diffraction-based methods
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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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entry requirement for the Doctor of Philosophy program by Curtin University and English proficiency IELTS level 7. Eligibility criteria The successful candidate(s) will have: First class or upper second
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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