290 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Australia
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Details Maximum number awarded 1 Eligible courses All applicable HDR courses. Eligibility criteria We are looking for a self-motivated PhD candidate with excellent organisation, problem-solving and project
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-refinement for finite element and scientific deep learning methods (gradient-free adaptation, generalized stochastic gradient descent methods) Salary for PhD students: is AUD32K per annum, tax free
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peer-based programs across the four streams. Training sessions using experiential learning techniques will be provided to program staff and community members. Data collection methods will include pre
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, (9) Industry, Innovation and Infrastructure, (11) Sustainable Cities and Communities and (12) Responsible Consumption and Production. The PhD will be conducted within the Hydrogen Storage research
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The University of Adelaide is pleased to invite expressions of interest for a PhD scholarship in renewable energy research. This opportunity, funded through an ARC Discovery Project, offers a three
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environment with the continuation of economic and commercial activities. The European Union, for instance, has adopted the European Green Deal with its vision to be the first climate-neutral continent. In 2023
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this group, and externally via various collaborations, connections and networks. Data processing requirements are not expected to be significant, and can be met on any number of existing machines or facilities
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applications in timing and biology, quantum circuits and quantum computing. Projects will be available at the University of Adelaide, RMIT and the University of Queensland. Eligibility: Applicants must be
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the spectrum of experience from PhD candidate, early career to senior academics. The candidate will experience industry networking with the non-government sector and policymakers (Department of Health WA) during
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; Enrolled in a Doctor of Philosophy (PhD) program at the University of Adelaide; A recipient of a major scholarship; and Undertaking research relevant to environmental sustainability. *Note, environmental