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Charles Sturt University’s AI and Cyber Futures Institute (AICF), a cutting-edge research institute of excellence in data science, artificial intelligence, and cyber security, is poised to showcase
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, criminology, statistics, or data science experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software strong quantitative skills excellent communication skills, both
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Status: Open Applications open: 7/01/2022 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Two PhD student scholarships
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Social Science PhD Opportunity on Home Helper Robots Job No.: 678806 Location: Caulfield campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years (fulltime
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are deeply committed to environmental stewardship and eager to apply their specialized skills in AI, data analysis, software development, and electrical or energy engineering to make a significant and tangible
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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; Monash University, Australia | North Adelaide Melbourne St, South Australia | Australia | about 3 hours ago
edge of impactful international research across research themes including: disadvantage and health ; global and environmental health economics ; economic behaviour, incentives and preferences in health
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: The proposed project aims to enhance the sustainability and transparency of the battery materials supply chain by integrating Environmental, Social, and Governance (ESG) criteria and Life Cycle Assessment (LCA
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of Science . Eligibility You must: be either a domestic student, an onshore international student or an offshore international student who already holds study rights to study a PhD in Australia meet QUT's
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models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques