97 engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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explore current techniques such as fine-tuning, model alignment, prompt engineering and Retrieval Augmented Generation (RAG) to improve reliability of generated recommendations for two cases of chronic
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with leading researchers in glass science/engineering and diffraction physics/crystallography in Australia and around the world. "Local structure and symmetry in metallic glasses" (with Assoc Prof Scott
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking an outstanding and highly motivated Research Fellow to join its internationally
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analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows
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per year: one in the Humanities and Social Sciences (HASS) disciplines. one in the Science, Technology, Engineering and Mathematics (STEM) disciplines. Selection criteria Monash scholarships are highly
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high-performance computing infrastructure Opportunities to publish in leading AI conferences and journals (CVPR, ICCV, AAAI, NeurIPS, and equivalent) Training in research commercialisation and technology
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I supervise a wide range of PhD projects on experimental research into the electronic properties of novel quantum materials including topological insulators, graphene, and other atomically thin two-dimensional materials. I am interested in creating a low-power topological transistor, in which an...
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in an ecosystem of health, academia and industry, it delivers the research outcomes, skilled workforce, technology and partnerships to improve human health locally and globally. Supervisory team
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microscopy, cryogenic transport, and nano‑device measurements. You will join a collaborative cohort spanning theory, experiment, and device engineering, with access to national facilities, joint Monash–Warwick
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intelligence (XAI). This project will build on the methodology of formal explainable AI (FXAI) and aim at advancing FXAI technology and broadening its use by seeking (1) how to efficiently represent an AI system