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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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Degree by Research (HDR) project “Electromagnetically driven flows in electrolyte layers with free interfaces”. Funded by the Australian Research Council (ARC), this theoretical/computational project aims
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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 Theoretical
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this work is breaking the logjam in answering the most important open question in all of physics: how to unite quantum theory and gravitation. Note: this PhD project is open to candidates who demonstrate
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and AI relationships and futures. It should also outline your interest in being a PhD candidate within the Emerging Technologies Research Lab, summarise the theoretical, methodological and practical
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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. On the other hand, through training from experimental work to theoretical calculations, the PhD candidate involved in this project will foster his/her insightful understanding of PCFCs from macroscopic
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Professor Pink’s Laureate Fellowship programme; summarise the theoretical, methodological and practical approaches you are interested in pursuing in a PhD and your interests in engaging with innovative visual
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this scholarship is filled. Application closes when this scholarship is filled. This PhD project will fill the large gap between the profound theoretical work on elaborate diffusion-based and birth- and-death
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statistics. Must be eligible to enrol in PhD programs at Curtin University. Application process Please send your CV, academic transcripts and brief rationale why you want to join this research project via