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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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(Good Universities Guide 2022) and with top rankings in Victoria around student support, social equity, skills and employment, we are driven to make difference to every student and the community providing
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synergistically integrates different renewable energy sources such as solar photovoltaic generation, hydrogen production, and storage alternatives with microgrid-driven power distribution. Through advanced modeling
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University of Stavanger invites applicants for a PhD Fellowship in information technology, artificial intelligence (AI) in medicine, at the Faculty of Science and Technology, Department of Electrical
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data-driven model for storm surge prediction. iii. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy. iv. Research: Conduct research to enhance wave
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level anomaly with extreme weather conditions: Utilize the developed numerical model to build a database of sea level anomaly with different weather conditions, which can be used to develop a data-driven
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-Cas9-engineered models: Engineer cancer cells using the CRISPR-Cas9 technique to either knock-out or knock-in genes-of-interest and generate monoclonal lines. Perform phenotypic characterization
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focused on designing, developing, and controlling an avian-inspired robot capable of precise and agile flight in urban environments. This initiative merges advanced computational modeling, AI-driven control
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features in alloys, to aid future alloy design. The UNSW team, lead by A/Prof Patrick Burr, will provide the modelling contributions, and the team at USyd, led by Prof Julie Carney and Dr Ranming Liu, is in
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Collaborating closely with data curators, multi-omics data scientists and AI engineers to integrate and enrich disease datasets, and test and validate models Applying hybrid modelling approaches to limited data