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– you don't have to be a STEM student to apply! The opportunities we are offering The Next Generation Graduates Program is a cohort-based, industry driven, multi-disciplinary graduate training program
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brilliant success in past decades. PCFCs encompassing proton conductors regarded as the next-generation fuel cell device for their lower operating temperatures. As distributed electricity generation devices
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to integrate next generation satellite radar (InSAR) monitoring for ground motion with Global Navigation Satellite Systems (GNSS) positioning devices. This will focus on test sites where the student will
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For better or for worse, Generative AI is changing our world. A key challenge in Generative AI is many-shot jailbreaking—where a language model, despite being explicitly trained to reject harmful
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placements (honours, master degree, PhDs) and create a community of students who will learn together as they tackle these research challenges. More information including available projects and how to apply
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-year research project on generative AI and academic research develop a research proposal that responds to and aligns with the scholarship topic and articulates the contribution your research will make
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Transcatheter Aortic Valve Replacement (TAVR) has emerged as a revolutionary procedure for treating aortic stenosis,...
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obtained). Have a background in one or more of the following areas: Dance Choreographic Practice Improvisation Performance and Technology Motion Capture Movement Analysis Systems How to apply Apply
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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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funding in the form of a Living Allowance Stipend and a tuition offset support to work with their industry partner on the following Australian Research Council [ARC] Linkage Project: Optimising cost