28 post-doc-image-engineering-computer-vision PhD positions at University of Adelaide in Australia
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The Ian Croser Research Travel Scholarship in Engineering supports travel costs for PhD students in engineering. Eligibility: To hold the award, applicants must: be an Australian citizen, Australian
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demonstrate suitable experience in computer science, machine learning, robotic vision, or a related field (through a high-quality Honours or Masters degree). The successful candidate must be able to enrol as a
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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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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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-driven research in cancer bioinformatics, leveraging cutting-edge techniques to unravel complex biological insights. Join us in advancing cancer research through innovative computational approaches. As a
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imaging, flow cytometry etc. The chance to forge collaborations with experts in diverse fields at the Adelaide biomedical precinct. Ample professional, scientific and mentoring opportunities to develop
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and technology. Engaging in solving a real-world problem requires a real solution to enhance housing resilience. Applying research skills to optimise and innovate AI-driven solutions for the housing
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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
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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