31 computer-science-data-wahrn-hous PhD positions at University of Adelaide in Australia
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among higher degree by research students, and to promote knowledge transfer between academia
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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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Arial 12) Up-to-Date curriculum vitae (3 page maximum) Australian Government Research Training Program (RTP) or equivalent competitive scholarship Letter of Award Academic transcript For more information
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PhD Opportunity – Advanced Microwave Sensor Design for Detection Technologies The School of Electrical and Mechanical Engineering at the University of Adelaide is seeking a highly motivated PhD
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to undertake research in the field(s) of Product Development and Artificial Intelligence, Sustainable Building Practices, and Data Analysis. The nature of the research and development activities for the research
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. This includes sample preparation, data collection, computational analysis, and 3D structure determination of protein macromolecules. Experience in cellular tomography workflows for EM analysis of cells and
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The Catherine Helen Spence scholarship provides financial support of up to $25,000 for a woman to undertake an investigation of social problems and/or a study in the field of social science in
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identified. For further information For a confidential discussion regarding this position, contact: Dr Luke Isbel Group Leader in the Cancer Epigenetics Program at the South Australian immunoGENomics Cancer
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Be part of a pioneering centre that's setting the global standard for responsible AI Shape the future of technology while making a meaningful impact on society Join a collaborative environment where
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Honours degrees in the following disciplines, or with equivalent research or work experience will be favourably considered: Computer and Data Science; Applied Mathematics and Statistics. Number