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develop a new three-dimensional adjoint model of glacial isostatic adjustment, with a focus on East Antarctica. The position is part of a new prestigious ARC Laureate Fellowship team of about 15 researchers
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will streamline how experts and stakeholders process, interpret and access complex, high‑volume information, and unlock new capabilities in modelling, data integration and knowledge retrieval for current
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$85,555 - $116,094 p.a. (*PhD entry level $108,156 p.a.) plus 17% super Pioneer research in modelling heterogeneous populations through collaboration with leading institutions to advance mathematical
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biological data - particularly genomic, transcriptomic, and phenotypic information - into machine-readable formats to support the development of AI models. Lead the integration of these models into crop
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well as collaborating with the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics
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-dimensional model of Antarctic glacial isostatic adjustment Full Time, 3.5 year fixed-term position based in Hobart About the opportunity This postdoctoral research position will work on reconstruction
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industry to facilitate and coordinate new research collaboration and initiatives Proficiency in relevant programming, data analysis and modelling tools (e.g., Python, AI/ML, Simulation software – SUMO, Agent
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Observatory of Japan (NAOJ, under JSPS-KAKENHI International Leading Research (ILR) program; 22K21349) co-funded position offers a unique opportunity to work at the intersection of astronomy, optics, and
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these data with multi-omics datasets to identify regulatory or metabolic bottlenecks. It involves statistical analysis and systems modelling, and close collaboration with strain engineering and bioprocess
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Brown. The position will be responsible for drafting data collection tools, coordinating feedback with study partners, co-facilitating the system mapping workshops, descriptive model development and