424 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Babes-Bolyai-University" positions at Monash University
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. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Relevance, quality and achievability of projects to the Monash-Museums Victoria collaborative research
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In
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of the following would be useful: stakeholder engagement, (IT) system design, basic web programming, and technology evaluation. Experience in Indigenous and qualitative research methods is desirable, and Indigenous
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area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
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The Opportunity Join the Faculty of Engineering as a Technical Officer to support the Student Analytical Makerspace and Pilot Laboratories (SAMPL) and Monash Innovation Labs (MiLabs). The Technical Officer is
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recently been awarded an Incorporating Patient Data in Health Technology Decision Making Grant under the 2025 Preventative and Public Health Research Initiative of the Medical Research Future Fund (MRFF
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compliance assurance program across the Monash Group, working in close collaboration with central portfolios, controlled entities and faculties to ensure that Monash complies with its regulatory and other
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relationships in organic semiconductor materials, working closely with Professor Chris McNeill in the Department of Materials Science and Engineering, Dr. Amelia Liu in the School of Physics & Astronomy as
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Technology: Theory and Applications, pages 123–149. Springer, 2010. O. Biran and K. McKeown. Human-Centric Justification of ML Predictions. In IJCAI2017, pages 1461–1467, 2017. L. Cavazos Quero et al.˙ Jido: A
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Computation", NeurIPS 2019 - "Protecting Privacy of Users in Brain-Computer Interface Applications", IEEE Transactions on Neural Systems and Rehabilitation Engineering 2019 - "Efficient and Private Scoring