642 computer-science-intern-"https:" "https:" "https:" "https:" "University of St" "St" positions at Monash University
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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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with living costs during study. Funded by Monash University, these scholarships support both domestic and international students undertaking Research Doctorate and Research Masters degrees at a Monash
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Shape international research delivery as Project Manager The Opportunity We have an exciting opportunity for a Project Manager to support a dynamic Precision Medicine research program, including
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faculty/academic unit, these scholarships support both domestic and international students undertaking Research Doctorate and Research Masters degrees at a Monash campus in Australia. Applications Four
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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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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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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
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Number offered One per year See details Zhafira Ratna Aulia MRS Resident Advisor Scholarship As an international student from Indonesia, the Monash scholarship has been a lifeline, easing my financial
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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