639 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"ST" positions at Monash University
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possess translational symmetry, the role of structure and symmetry in glasses is not established. This research programme involves the development of new x-ray and electron diffraction-based methods
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that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing. The project will advanced state of the art AI for NLP or vision or both
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educational programs and governance frameworks. The role provides professional leadership in delivering high-quality administrative and customer services, ensuring compliance with university policies and
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of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018. [5] Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation Poorya
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out on many opportunities in the past because of time and money. This scholarship has helped alleviate some of that financial stress and aided me in pursuing my key interests in data science and
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and communication skills in healthcare. You will use sensor-technology to capture multimodal ‘trace’ data including gestures, speech, workspace spatial layout and manual handling of objects. You will
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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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would suit a mathematics or computer science student with a background in continuous optimisation (linear and non-linear programming) and discrete optimisation (mixed integer programming). An ability
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Transition Program. **To be eligible you must provide a Confirmation of Aboriginal and/or Torres Strait Islander Heritage certificate or a certified Statutory Declaration form to the William Cooper Institute
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series