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candidate will join the research project “Multimodal LLM-driven Intelligent Design-for-Safety Advisory System (MIDAS),” which aims to develop an innovative AI-powered advisory system to enhance Design-for
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systems, and climate-change adaptation. The project aims to develop and validate energy micropile retrofit solutions that can support the decarbonisation of existing buildings by combining structural
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postdoctoral fellow to join our research group. We are interested in scientists studying the regulation of cell death, particularly in the context of human development and disease. Preference will be given
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(Level A) is expected to contribute towards the research effort of UNSW and to develop their research expertise through the pursuit of defined projects relevant to their particular field of research
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop
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packaging. The successful candidate will play a dual role: spearheading the development of on developing and integrating modeling, co-design, and data-driven optimization methodologies for BS-PDN-enabled
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excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems
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Description They will lead the development of scalable catalyst manufacturing processes by translating laboratory formulations into kilogram-scale production, optimizing catalyst composition, support materials
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Materials Design - Develop and apply machine learning and AI models (e.g., ML interatomic potentials, generative design, reinforcement learning) to predict and design materials. - Perform first-principles and
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, geophysics, medical physics, and computational science. The successful applicant will join the Inference Group, led by Associate Professor Colin Fox, which develops new mathematical and computational methods