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ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods to applied nonlinear problems arising from water
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, ophthalmology, pharmacology, or a related discipline. Conduct high-quality wet laboratory research: test novel therapeutic candidates using in vitro, ex vivo, and in vivo experimental models. perform assays
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FRS extract RNA from soil samples for metatranscriptomic sequencing perform metatranscriptomic sequencing of soil samples and downstream computational analysis to detect known and novel RNA viruses
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. Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision. Demonstrated track record of publications and conference presentations relative
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on the functional interplay between biomaterial properties and cellular aging behaviour. Your key responsibilities will be to: perform research, both independently and as part of a team, to characterise cell
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-scale, complex project environments. This project is part of an ambitious research program to integrate real-time sensing, AI-based control, and governance analytics into the future of infrastructure and
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undertaking independent and or team research on Scientia Professor Buckley’s Australian Research Council (ARC) Laureate Research Program entitled “The Financial Data Revolution: Seizing the Benefits
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Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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ambitious research program to investigate the intersection of plate tectonics, critical metals, and Earth's habitability by trying to better model the Earth’s surface evolution from 1800–500 million years ago
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, with access to a dedicated support network and superb neuroscience research facilities, to forge new research directions, make important discoveries, and publish high-profile findings. Support will be