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battery systems or distributed energy resources. This will include benchmarking data models, and deploying and testing these techniques in real-world, large-scale deployments. Contributing to setting
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systems. Analyse mixed-methods data (quantitative biometrics + qualitative focus groups). Collaborate with educators, engineers, and industry partners. How to apply To apply, please ensure you have digital
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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Status: Closed Applications open: 27/03/2025 Applications close: 27/04/2025 View printable version [.pdf] About this scholarship Description/Applicant information The PhD project, funded by
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PhD Scholarship PhD Opportunity in error correction codes for free-space quantum communications. This includes new analysis, design and decoding methods for error correction codes for information
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hectares. In the 21st century, losses have become more frequent with a constant stream of large buildings taking over sites that were once Open Green Public land. A research industry internship have been
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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is carried out within the LHCb collaboration that runs one of the four large experiments at the Large Hadron Collider at CERN as well as towards future collider developments. I supervise a number of
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evidence to inform an integrative framework of cascading influence between lifestyle factors, vascular health, brain structure/function and cognition. Young at Heart Research information can be found here
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23 Oct 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Psychological sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country