Sort by
Refine Your Search
-
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
-
professionals and will drive a transformation of the treasury function. Key Responsibilities Lead and manage the treasury function, ensuring performance aligns with university policies and strategic priorities
-
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
-
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
-
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
-
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
-
common purpose. Underpinning your approach are your intellectual capacity and creative growth mindset, stamina and agility to manage multiple priorities. Your experience may span higher education or other
-
environmental stewardship in Antarctica and the Southern Ocean. The ideal candidate will have extensive experience in developing complex proposals for large-scale, multimillion-dollar projects involving multiple
-
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
-
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