531 computer-science-intern "https:" "https:" "https:" "https:" "Trinity College, Dublin" uni jobs at Monash University
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Ian Little Honours Scholarship A scholarship for students intending to pursue an economics honours degree at Monash Business School: Bachelor of Commerce (Honours) or Bachelor of Economics (Honours
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for computational analysis. This learning analytics project will be conducted in the context of simulation-based healthcare education, and it will support the development of effective strategies to improve teamwork
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in analogue formats in the first place. However, the preservation of information is often a neglected aspect of community informatics projects and of information behaviour research. This PhD project
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delivery of campus services across the University, including cleaning, waste management, urban space maintenance and relocations. Working closely with internal stakeholders and external contractors, you will
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made it possible to support myself away from home while studying. I've been able to participate more in class, take up an international placement and volunteer with not-for-profit causes to strengthen my
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leadership capabilities, enabling them to reach their full potential and make a real difference to people's lives and the future of pharmacy. You will participate in a leadership program throughout the course
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experienced hardship to enrol in an undergraduate degree in Medicine, Nursing and Health Sciences at Monash University. Total scholarship value Up to $24,000 Number offered One See details Caitlin James
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and basic optimization techniques are essential. Students with backgrounds in Data Science, Applied Statistics, Machine Learning, Statistical Computing, Industrial Engineering, or Reliability
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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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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...