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Field
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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is necessary to: 1) explore platforms and frameworks that support the development and implementation of the models needed to detect and predict leaks; 2) process real and simulated data that will be
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, and utilize the state-of-the-art multi-scale atmospheric models, along with measurement and statistical approaches, to understand the mechanisms that drive the climate-air quality interactions, and
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the project leader in the research project – “Understanding localization with dual-modality model”. Qualifications Applicants for the Postdoctoral Fellow posts should have a doctoral degree or an equivalent
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downscaling for Africa. We aim to get the first models developed rapidly, and you will support work to ensure that the methods can be run, evaluated and improved by partners in African universities and weather
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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Research Fellow in Neurocognition & Modelling Job No.: 684026 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
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Research Infrastructure (ACCESS-NRI), and is focused on coupling the Ice-sheet and Sea-level System Model (ISSM) with the ACCESS-AM3 atmosphere model. The long-term goal is to integrate this coupling
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and in vivo models to analyse metabolic and immune function under inflammatory conditions of interest Regularly present findings at team meetings and interact closely with collaborators Operate within
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to cutting-edge research aimed at developing sustainable soil fertility management systems for marginal agricultural soils, particularly under conditions of salinity and drought. The research will focus