29 postdoctoral-image-processing-in-computer-science PhD positions at University of Adelaide
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these constraints into the training objective, complicating model training. This project aims to leverage advancements in computer vision, particularly in implicit neural representations, to embed priors in neural
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). No extensions shall be considered. Eligibility To be eligible for the Scholarships, applicants must be: Commencing a full-time Doctor of Philosophy program in engineering at the University of Adelaide
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projects to support full-time PhD students in research of this unique cell and molecular biology of apicomplexan parasites (Cryptosporidium and malaria parasites). One Scholarship will focus on the molecular
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learning. This program allows students to conduct cutting-edge AI research at a world-class institute and provides travel funding to gain valuable experience working with international collaborators in
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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, or international student; be enrolled in a PhD program in the Faculty of Health and Medical Sciences the field of medicine known as nuclear medicine; or a field of academic study where a substantial component of the
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engineering, economics, environmental, and communication expertise, 2XE offers bespoke strategies that integrate technical solutions and actionable sustainability insights. 2XE’s methodology prioritizes a
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will provide high quality data comprising images, text, and detailed locational information for 667 names/toponyms given to localities on the Australian coast by d’Entrecasteaux and Baudin. The expected
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knowledge of health economics, but this is not a requirement as training will be available throughout the PhD program. Stipend: The scholarship will be for 3.5 years and has a stipend of $35,300 (indexed
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation