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Field
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-state batteries; high energy batteries; materials synthesis; materials for electronic devices like sensors, semiconductors, switch, transistors. Design and perform electrochemical, mechanical, and
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of the CTAO medium sized telescope (MST) pathfinders to be deployed in Chile. Specifically, the candidate shall work in the areas of performance measurements, data analysis and simulation models. Besides
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pavements as core focus. • Work on mechanistic empirical pavement design and modelling for airports. • Develop state of the art solutions for high performance pavement system and work closely with
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. Studying this phenomenon requires the use of both experimental and numerical tools to develop design techniques for safer components. Damage tolerance is crucial for high-performance components, making
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their applications in concrete system. The role will focus on performing independent and collaborative research to meet the project objectives, developing new solutions, and publishing high-quality
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sciences research field To be successful in this position, you’ll have: Emerging track record and recognition for quality research outputs that will contribute to existing high performing RMIT research teams
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encompassing data-driven electrolyte screening, molecular dynamics simulations, and experimental validation to bridge the gap between AI predictions and practical battery performance. The optimized electrolyte
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apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and inverse design. Perform high
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agility and pragmatism. This role is an exciting opportunity to work with a high-performing team in a fast-past research environment, to deliver evaluations with real-world impacts. We are seeking
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salary system, requirement level 5, with a personal performance component on top, giving a monthly gross salary of approximately EUR 3900-4376. The appointment is for 2-3 years with a 6-month trial period