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innovating interesting models to address different aspects of this problem (eg [1,2]). [1] Sequence to Sequence Mixture Model for Diverse Machine Translation Xuanli He, Gholamreza Haffari, Mohammad Norouzi In
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% employer superannuation) Amplify your impact at a world top 50 University Liaise with leading researchers and healthcare stakeholders Drive project coordination and implementation across multiple sites
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explore current techniques such as fine-tuning, model alignment, prompt engineering and Retrieval Augmented Generation (RAG) to improve reliability of generated recommendations for two cases of chronic
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translational research across a range of neurological conditions including epilepsy, neurodegeneration, multiple sclerosis, and traumatic brain injury. The department benefits from direct access to early-phase
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search is guided simultaneously by multiple contrasting objectives: maximising the QA resources on software modules that are risky, severe, and affect a large number of end-users, while minimising the cost
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working on harnessing new technologies such as next-generation sequencing and artificial intelligence to improve the diagnosis, treatment and prevention of AMR infections. The specific aims of this project
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Level 8 (plus 17% employer superannuation) Utilise your strong technical aptitude across a complex multi-university structure. Process complex information from multiple data sources Be part of a team that
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. "Studying the origin of the new discovered class of weak CN stars in the Magellanic Clouds using stellar variability" "How do stars merge? Studying the merger between low and intermediate-mass main-sequence
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translates to this new method. This concept is aligned with a recently-developed terminology and conceptual model for blended real and virtual data representations, namely proxsituated (proxy of situated
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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without