286 phd-position-in-data-modeling-"Prof"-"Prof" Fellowship research jobs in Australia
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) environments for large-scale data analysis, including workload managers such as SLURM. For full details about this role, and other criteria, please review the Position Description . Not sure if you meet all
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modelling who has: a PhD in power and energy systems, process systems engineering, industrial decarbonisation, energy economics, or a related discipline demonstrated expertise in energy systems modelling
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of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate/Fellow in energy systems modelling who has: a PhD in power and energy systems, process systems engineering
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modelling to deepen understanding of the mechanisms that drive new therapeutic approaches. The position plays a central role in delivering high quality research outcomes through the design and conduct
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using Large Language Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research
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Models (LLM) to query and reason geospatial data. The project aims to develop a pilot decision support systems in collaboration with industry partners. The Postdoctoral Research Fellow will undertake
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Technology (SET) This position plays a vital role in developing advanced theoretical tools and models for superconducting quantum materials research, contributing to leading-edge defence-related technologies
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the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Associate Professor David Gonzalez Discipline of General Practice
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Full time, fixed term for 2 years Work on a range of Artificial Intelligence in Education (AIED) and Educational Data Mining (EDM) projects Base Salary $109,263 - $121,054 + 17% superannuation About
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. Working closely with the ABI program’s leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets. As