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Field
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Machine System for Data Quality, our research goal is to create fully automated processes for all phases of the data life cycle. We seek a Postdoctoral Fellow with expertise in Large Language Models (LLMs
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applied research to support the sustainable management of freshwater ecosystems. We require a quantitative ecologist with skills/experience in statistical and quantitative modelling. The successful
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developing advanced, data-driven models and tools to integrate renewable generators securely into Renewable Energy Zones (REZs). Our goal: a reliable, affordable, and resilient decarbonised power system
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. The goal is to prevent pathology in mouse models of neurodegenerative disease using a noninvasive, antibody-based technology. Responsibilities* The responsibilities will include cloning and producing
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statistical and quantitative modelling. The successful candidate will contribute to projects on flow-ecology relationships and habitat suitability modelling for freshwater organisms and will be comfortable
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preliminary data, it combines mechanistic and translational immunology with bespoke in vivo models to define and exploit therapeutically relevant subsets. The Research Fellow will lead studies on cytotoxic T
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Liu at UA Department of Geography and the Environment. The postdoctoral scholar will lead sediment remote sensing algorithm and foundation model development and implementation, remote sensing and field
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the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical
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join a collaborative, purpose-driven research environment, leading innovative projects that integrate systems mapping, causal loop analysis, scenario modelling and market systems analysis to inform
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Apply now Job no:501600 Work type:Full time Location:Hobart Categories:Research Focused Undertake state-of-the-art research in 3d modelling of Antarctic glacial isostatic adjustment Join a