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PhD scholarship opportunity: Bias in generative AI-driven decision systems Job No.: 680086 Location: Caulfield campus (with possible collaborations at the Clayton campus as needed) Employment Type
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This project is aimed at developing platforms to provide security in the post-quantum era. The project aims to incorporate quantum technologies, including quantum machine learning and quantum
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the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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of epidemiologists who collaborate nationally and internationally to advance ongoing surveillance activities and minimise the global burden of acute respiratory infection. This PhD project will use data from
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Australia upon commencement of the PhD To be eligible for this scholarship, you must: Have a first-class Honours degree (or equivalent) in a relevant discipline (e.g., information science, sociology, digital
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and functional T cell assays. The PhD candidate: The preferred PhD candidate will have completed an Honours or Masters degree in immunology, microbiology, bioinformatics, biostatistics or a related
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to both domestic and international applicants, but the applicant must be living in Australia upon commencement of the PhD. To be eligible for this scholarship you must: Have a first-class Honours
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Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the standard stipend. Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the...
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relativistic quantum information (RQI). This highly challenging PhD experience will offer you the chance to work on world-class research combining quantum information theory with key aspects of quantum field