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process natural language problem descriptions and translate them into executable code. This research seeks to streamline workflows across diverse domains, from software engineering to data engineering
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in interview (if required) Preference given to students who have completed Curtin's Girls+ Engineering Tomorrow (GET) Network Program Step 6: Shortlist for Interview (Only applies if an interview is
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Scholarship (the Scholarship) has been developed to support students who come from disadvantaged backgrounds, throughout their course of study. The Tyree Foundation has established scholarships for engineering
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Stark and Geals Science Scholarship Achieving Potential Support Scholarship Allan and Pam (nee Geals) Stark graduated from Monash University during its first decade of student intakes. They believe
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Areas covered include wireless communications; intelligent monitoring and surveillance for natural and industrial environments; intelligent embedded systems; decision making and machine learning; wireless sensor networks; green communications; next generation wireless broadband networks; signal...
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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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In collaboration with people from Monash materials engineering, neuroscience and biochemistry we are developing living AI networks where neurons in a dish are grown to form biological neural
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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principles must the task choice be based for this to work? These questions are central to explaining the organisation of natural societies, from insects to humans, and to engineering self-organised systems
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images