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successful candidate will conduct research focused on meso- and macroscale mathematical modeling of next-generation batteries, while leveraging advanced artificial intelligence (AI) tools to accelerate
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of polymers and composites used in civil infrastructure, with an emphasis on understanding and modeling the effects of moisture, temperature, and environmental exposure on material performance and service life
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the direction of Dr. Jun Xu. The postdoctoral researcher will work on fundamental and applied research at the intersection of battery mechanics, electrochemical-mechanical-thermal modeling, physics-based
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are especially encouraged to apply. Extensive experience with protein expression and purification is required. Experience with cryo-EM and model building is desirable but not required. Position and Environment
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“fit” with our program model; 5. Identification of potential training faculty mentors; 6. Transcripts from all educational institutions attended; and 7. Three letters of reference, including one from
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) and involves the weather resolved-logistics modelling that feeds the LCOE calculations. The UCC logistics models simulate installation, operation and maintenance, and decommissioning task by task
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on digital innovation, quantum-enhanced modelling, and resilient infrastructure systems Base Salary Level A, $117,936 - $125,896 + 17% superannuation About the opportunity The Faculty of Engineering at
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. The candidate will apply a suite of statistical and physical models for integrating observations of different accuracies, improving predictions of future hazards. The work will further include research, writing
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of agentic AI systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine physics-based modeling, machine
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How do mobility systems respond when everyday travel is disrupted? How can we model who loses access, where, for how long, and under what conditions recovery is possible? We are looking for a