34 software-engineering-model-driven-engineering-phd-position PhD positions at University of Adelaide
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and technology. Engaging in solving a real-world problem requires a real solution to enhance housing resilience. Applying research skills to optimise and innovate AI-driven solutions for the housing
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PhD Opportunity – Advanced Microwave Sensor Design for Detection Technologies The School of Electrical and Mechanical Engineering at the University of Adelaide is seeking a highly motivated PhD
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aspects of our work, with a particular focus on sustainable energy solutions and integrating data-driven decision-making tools into business operations. This position is designed for individuals who
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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Hicks PhD Scholarship in Public Health Policy was established with funds donated by Dr Hicks and initiated with the kind assistance of Dr Hicks’s daughter, Alison Greenslade, and his partner, Pamela Ball
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the development of predictive models to anticipate potential failures. Additionally, the project will facilitate the transfer of this technology to industry, while also advancing academic knowledge
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This scholarship is funded by the ARC Training Centre for Battery Recycling to support a full-time PhD student who wishes to undertake research in the field of battery recycling: Project 7.1
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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1/10/2025 with the name of scholarship in the subject heading. Applications will be assessed as and when received and the PhD position may be filled ahead of this date if the suitable candidate is
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treatment response. This position offers a unique opportunity to collaborate with multidisciplinary experts and impact the field of cancer research through the power of data-driven discovery. We are seeking a