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. Interaction with project partners in academia and industry. Production of quality research outputs consistent with discipline norms and opportunity to learn about the most advanced quantum modelling techniques
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, and Vulnerability Assessment. This role offers the chance to apply generative AI and large language models (LLM) to real-world challenges—making software more secure by design or through proactive
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Australia research project, with a desktop modelling focus on: decarbonisation pathways for Heavy Industry, production pathways for Sustainable Fuels, evaluation Carbon, Capture and Storage alongside Direct
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at St Lucia in the Business School. Key responsibilities will include: Engineer, prototype, validate and deploy statistical, machine learning models and analytic solutions to solve challenging problems
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contemporary publishing challenges, along with a track record of innovation and the development of new business models, is highly desirable. With proven strategic leadership skills, they will be adept
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that increase placement capacity through telehealth, mobile clinics, and new service models. This role offers the chance to: Influence rural health workforce policy at local, state, and national levels; Build and
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Veterinary Technology students Capacity to serve as an excellent clinical veterinary role model An understanding and knowledge of relevant legislative and professional requirements relating to veterinary
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engineering, and building machine learning models for tasks like classification and regression Key responsibilities will include: Research and Technical Support: Collaborate with researchers and HDR students
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Opportunity The Senior Business Analyst - Data Governance plays a key role in advancing UQ’s data governance and data modelling initiatives by working closely with stakeholders, technical teams, and project
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model – enjoy a mix of in-office collaboration and remote work flexibility) About This Opportunity AUSCERT is seeking a versatile and creative Marketing and Communications Coordinator to join our small