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: A PhD in Physics, Computer Science, Mathematics, Machine Learning or relevant fields. Strong publication record in top conferences/journals, such as Nature Physics, Nature Communications, PRL, T-PAMI
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generalization across tasks. Hierarchical and modular agent architectures to enable scalable coordination. Design and implement simulation environments, integrating real-world data and domain-specific constraints
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, candidate must demonstrate that they meet the following essential criteria: Hold, or about to obtain, a PhD in Power Electronics, Electronic/Electrical Engineering or closely related discipline. Recent
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, Science, Architecture, IT, Built Environment Apply for a Deakin Fellowship today! You’ve come this far with a PhD, why stop now? Continue your professional growth and make a mark in your field with a Deakin
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representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next
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independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field
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architecture, building technology, and mechanical engineering. Have a degree in any of the following fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be
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contribution of 17% superannuation applies. Full Time, Fixed Term position for 12 Months! We are seeking a Postdoctoral Research Fellow (Structural Engineering) to be based within the School of Architecture and
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balance, consisting of full-time professors, researchers, and many postdocs and PhD candidates. The planned PhD research topic will explore techniques to handle protected data in digital twin architectures
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conferences, workshops, and seminars. Qualifications A doctoral certificate (PhD or equivalent) in Landscape Architecture, Environmental Science, Urban Studies, or a related field. Strong research background in