392 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Monash University in Australia
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Artificial Intelligence (AI) is revolutionizing the field of Magnetic Resonance Imaging (MRI) by enabling faster, more accurate, and cost-effective image reconstruction. This project explores cutting-edge AI methodologies, focusing on combining data-driven approaches with physics-informed models...
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Co-supervisors Aldeida Aleti Research area Software Engineering Critical work to the future of healthcare ... exploring the role of #FHIR in interoperability and #datascience Also allowing exploration
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Lead Research Management Data Specialist Job No.: 686489 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $140,157 - $148,769 pa HEW Level 9 (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive,...
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Course Director of the BCom and BEc at the Clayton and Malaysia campuses. An enthusiastic supporter of the BCom Honours program, and educational opportunity in general, Dr Booth supervised a large number
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excellence and mentoring early career academics Leading staff development, performance and workload equity Expanding the School’s HDR program and fostering interdisciplinary collaboration This role offers
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: Current student enrolled in an undergraduate degree in the Faculty of Engineering or other STEM faculties at a Monash campus in Australia. Are an Indigenous Australian ** **To be eligible you must provide a
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Collection Acquisition Senior Librarian Job No.: 685533 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $96,768 - $104,450 pa HEW Level 6 (plus 17% employer superannuation) Amplify your impact at a world leading University library Join our...
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people who discover them The Opportunity Lead a dynamic program of veterinary care, research animal skills training and scientific services at the Monash Animal Research Platform (MARP). At the centre of a
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., Pan, S., Aggarwal, C., & Salehi, M. (2022). Deep learning for time series anomaly detection: A survey. ACM Computing Surveys.
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and evaluate our approaches on a range of computational sustainability case studies from the domain of conservation of biodiversity, natural resource management and behavioural ecology. Relevant