341 professor-computer "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" uni jobs at Monash University
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addictive studies Be surrounded by extraordinary ideas shaping the future of online education The Opportunity We are seeking to appoint an Assistant Lecturer to join the Graduate Program of Addictive
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Grace Kang Global Assist Grant The Grace Kang Global Assist Grant is introduced to support coursework students who participate in an overseas study program as part of their Monash degree. Total
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educational disadvantage and wish to contribute to the community. You will become a mentor to students from under-represented schools as part of the Access Monash Mentoring Program, giving you the opportunity
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provide high-quality administrative services to support the Campus Engagement activities. Your role will be crucial in managing event logistics, monitoring attendance, handling bookings, preparing program
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Monash Rural Health, overseeing budgets, external funding programs and financial reporting. This includes supporting major funding initiatives such as the Rural Health Multidisciplinary Training Program
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employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor Alex Fornito, ARC Laureate
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. Participating in an overseas study program . This excludes the Global Immersion Guarantee. Living with a disability or medical condition. You must be registered with Disability Support Services . Benefits $3,000
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students entering the Bachelor of Commerce (Honours) program majoring in Marketing at Monash University. This scholarship provides financial support to full-time students, awarded on the basis of academic
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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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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...