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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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the definition of sexual misconduct, contribute to a safe and respectful campus, and learn how to get support or make a report. SafeZone app Download SafeZone to quickly share your location and details with
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offers fully funded scholarships (full tuition fee scholarship, and a stipend of 14 million VND per month) for Vietnam-based PhD candidates who fulfill the scholarship eligibility requirements, subject to
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that combine fairness, privacy and legal guarantees for ADM systems, such as recommender and machine learning based systems. It takes a multi-disciplinary approach and although focused on the mobilities and
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supports high-achieving Vietnamese candidates to undertake a Doctor of Philosophy (PhD) at Curtin University, Perth Western Australia. Project 89 is a Vietnam Government training scheme under Ministry of
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Application dates Applications close30 May 2025 What you'll receive You'll receive a stipend of $37,010 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration
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PhD Scholarship – Development of novel Radiotracers for the Fibrosis Detection - PhD scholarship available with an International Team Job No.: 648919 Location: The Alfred Centre Employment Type
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Newsroom News, research and experts from the University of Melbourne University Activities University of Melbourne ranked in the world’s top 20 in QS World University Rankings 20 Jun 2025 Michigan and Australian transport innovators convene in Melbourne Delegates from two world-leading regions...
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Philosophy (PhD) at QUT, including any English language requirements for international students. In addition, this scholarship has specific eligibility conditions, including: the proposed project must be in
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models like SWMM are computationally slow and lack scalability, while opaque AI methods risk biased outcomes. This project addresses these gaps by developing a responsible machine-learning framework