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. For Domestic Applicants: Select the 'Graduate Research - Specialist Research Scholarship' in your application. For International Applicants: Choose 'Project-based PhD Scholarship OR La Trobe Industry Research
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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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of Law, and the University of North Texas Health Science Center at Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North
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. Maintain and update specialist knowledge by critically appraising relevant literature in urban resilience, infrastructure systems, or data-driven modeling. Actively participate within the research group
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School of Psychology Casual position with an hourly rate of $60.57 (HEW Level 6), plus superannuation of 12% Based at our vibrant St Lucia Campus About This Opportunity We are inviting applications
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, including Model Context Protocol (MCP) and Agentic Retrieval-Augmented Generation (Agentic RAG), can forge intelligent and adaptive immersive environments. The role You will investigate how AI can enable more
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early-career Singaporean social science and humanities researchers. This broadened network of Singaporean researchers based both locally and abroad facilitates a rich exchange of ideas between local and
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the intellectual, professional, and personal development of graduate students. The following attributes of an effective mentor will be considered by the committee in evaluating applicants: Models excellence in
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cellular immunology. The incumbent will also be involved in the oversight of multiple in vivo mouse models of disease. The Research Assistant Technician will maintain important mouse colonies, assist with
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. Develops and applies numerical and statistical models to better understand and predict flood risks in coastal environments, including the integration of hydrodynamic, climatic, and socio-environmental data