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Full time fixed term 2-year position Work within a major industry‑backed, multidisciplinary research partnership developing cutting‑edge metal composite coatings for extreme industrial environments Base Salary $113400 + 17% superannuation About the opportunity We are seeking a motivated...
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DNA or RNA motif discovery is a popular biological method to identify over-represented DNA or RNA sequences in next generation sequencing experiments. These motifs represent the binding site of transcription factors or RNA-binding proteins. DNA or RNA binding sites are often variable. However,...
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This research focuses on developing and evaluating methodologies for the optimal design of control charts within the framework of Statistical Process Control (SPC). The study aims to determine the
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approaches. Apply hybrid optimisation techniques (e.g., quantum-inspired or QAOA-based methods) to determine optimal intervention strategies under resource constraints. Compare the performance, scalability
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In NeuroDistSys (NDS): Optimized Distributed Training and Inference on Large-Scale Distributed Systems, we aim to design and implement cutting-edge techniques to optimize the training and inference
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structures, geometric/higher representation theory) Category theory (especially monoidal/tensor categories; diagrammatic or categorified settings welcome) Combinatorial / analytic methods for algebraic
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on social dilemmas, i.e., situations where poor group outcomes arise from optimal individual choices. We use this framework to study: Multi-agent Systems and AI, Social Systems, and Models in Biology and
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research monitoring program focused on the design and delivery of optimal care for children and young adults with early type 1 diabetes across 8 clinical sites in Australia. This role plays a critical part
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to undergraduate and post graduate medical trainees in the Women and Children’s Division Encouraging and supporting multi-disciplinary teamwork amongst staff for optimal clinical service outcomes Involvement in
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reactor designs, with the purpose of optimizing the activity and stability of the catalyst, selectivity toward reaction products, and scalability of the process. In addition, your work will involve