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28 Aug 2025 Job Information Organisation/Company FLINDERS UNIVERSITY Research Field Architecture Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Australia
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in an innovative, collaborative environment. As the successful candidate, you will demonstrate: Completion of, or significant progress towards, a PhD in Bioinformatics, Computational Biology, or a
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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of adaptive decision-making architectures for large-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance
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-Driven Sensing and Control for Megaproject Systems who has: a PhD or near-completed PhD in one of the following fields (or closely related): project Management or Project Studies (with strong computational
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are desirable. To be successful in this position, you’ll have: A PhD degree in Computer Science related field is desirable Industry Experience: Demonstrated industry experience in managing, building, and testing
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criteria A PhD in Computer Science or Software Engineering or Computational Statistics, or a related field; or a Master’s qualification in a relevant field and/or equivalent demonstrated experience
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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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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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load