630 computer-science-intern-"https:" "https:" "https:" "https:" "The University of Manchester" positions at Monash University
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expertise in evidence synthesis, clinical epidemiology, public health, or a related discipline. Experience in systematic reviews, guideline development, or implementation science will be highly regarded, as
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: www.monash.edu/graduate-research/study/scholarships/fees-scholarships/scholarship-policy-and-procedures . The stipend may be converted to top-up funding if candidates receive a University international or national
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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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100 per year See details Bachelor of Computer Science Moksh Receiving a scholarship has been my motivation to study harder. It has also given me more confidence in my studies, and pushed me to achieve
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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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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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Research Training Program (RTP) Stipend Research Training Program (RTP) Scholarships, funded by the Australian Government, support both domestic and international students undertaking Research
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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