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using financial and computer systems, including spreadsheets, databases and enterprise finance platforms. You communicate clearly and professionally, demonstrate initiative, and are committed
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that utilises our award-winning design system, GEM, showcasing the fantastic variety of learning opportunities and research initiatives that Macquarie University offers. Please note that this is NOT a technical
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the Clinic’s function as a teaching and research environment, contributing to student learning and ensuring alignment with the broader objectives of UNSW Medicine & Health. Skills & Experience Relevant tertiary
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proficient computer literacy with excellent skills in Microsoft Office applications. Ability to make sound judgements and work both independently and as part of a team. Demonstrated experience supporting and
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interested in, please apply via our website and complete the online expression of interest form https://www.monash.edu/ research-ethics-and-integrity/ animal-ethics/accordion- content/accordion_1 For further
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. This involves supporting the supervision of students during rural clinical placements, facilitating interprofessional learning opportunities during student placements, and enhancing support and education to both
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MML for well-behaved models, and has been successfully applied to diverse problems including hypothesis testing, clustering, and machine learning. Aim 1: Theoretical Investigation of MML Properties
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 19 hours ago
part of future clinical research using big data, machine learning, and LLMs; make contributions to omics of data in clinical research; and work with technology innovations and applications in
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Machine learning is being used to make important decisions affecting people's lives, such as filter loan applicants, deploy police officers, and inform bail and parole decisions, among other things
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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