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research in the context of DIVSOL. The Lab works in close collaboration with the broader machine learning and AI research community at the university, including software engineers and various support
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objectives to be achieved: The scientific work to be developed consists of: Software Architecture and Operations (MLOps)Investigate strategies to coordinate multiple specialized language models (core LLMs
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The Adrian Di Marco Women in Software Development Scholarship is offered by TechnologyOne and valued at $10,000 per year for up to three years for students who identify as female and are enrolled
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 20 days ago
Hub (HDRH) team to define the culture, values, and ethics of the Hub at a crucial point in its development. Applied Research: Develop your own research agenda using the HDRH and ANU HASS community as
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technologies (SLA, filament printing and pellet printing), participating in the various stages of development of these projects, from the use of advanced modeling software, the application of new materials
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), participating in the various stages of development of these projects, from the use of advanced modeling software, the application of new materials; the technical development and prototyping of products
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to build a network with scholars researching political elites around the world, including an annual workshop on the topic. A friendly and inclusive workplace allowing for a good work-life balance. Attractive
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in a connected context, investigating how accelerators can be designed, integrated, and scaled for emerging large scale and networked applications. We are interested in new ways of virtualising
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of a PhD • Expert knowledge of statistical modelling (including both theoretical and computational aspects) and use of statistical software (e.g. R - including programming). • Excellent
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to be developed consists of: Architecture and Delivery of AI Infrastructure:Develop the hardware and software architecture for the training, fine-tuning and implementation of Large-Scale Language Models