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• Strong quantitative and programming skills; experience with seismic data analysis or numerical modelling is highly desirable• Excellent written and verbal communication skills• Ability to work
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. This process operates under ambient conditions, utilises water as a hydrogen source, and is powered by renewable electricity. Recent advances in electrocatalyst design – enabled by operando spectroscopic
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learning. Supervisor: Prof. Udo Bach, Department of Chemical and Biological Engineering. (Email: udo.bach@monash.edu ) Manipulating light at the nanoscale Supervisor: Dr Alison Funston, School of Chemistry
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predictably to in-context demonstrations? What controls their ability to generalize, even when it contradicts their training? This project will involve developing a theoretical framework to explain in-context
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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universities and industry leaders, the Hub aims to advance manufacturing productivity, resilience, and global competitiveness through innovative digital solutions powered by Digital Twins, Artificial
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success for reactions that involve a net gain or loss of electrons: electrochemical reactions. These are an important class of reactions as they can be driven directly by renewable electricity, contributing
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The successful candidate will require advanced ability in German, and a proven track record in research fieldwork and historical methodology. In its assessment, the selection committee will prioritise applicants
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: School of Social Science, Australian Centre for Housing Research Email: amy.clair@adelaide.edu.au Applying: Expression of interest Expressions of interest should be submitted to Amy Clair (amy.clair
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Autonomous methods for fault or anomaly detection and classification of PV plants with high accuracy are necessary for the monitoring of large-size PV power plants. Objectives also include other