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in galaxies: how gas and dust form molecular clouds, how stars are born from these environments, and how stellar evolution and feedback return material back to the interstellar medium. Stars are born
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RNAseq; scRNAseq; Linux/unix; spatial transcriptomics URLs/references https://ramialison-lab.github.io/index.html Alan M Turing paper on morphogenesis C S Wallace and D L Dowe (1999a), "Minimum Message
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Gained: Students will study sustainability in computing, including integrating AI with real-time energy data and carbon monitoring, contributing to low-impact, sustainable cloud operations. Distributed
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Employment Type: Full-time Duration: 4-years Remuneration: $48,071 per annum (2026 rate) The Opportunities The project is under the CSIRO’s Industry PhD (iPhD) Program that brings together an industry partner
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-scale AI model training, resource orchestration, cloud/edge computing, high-performance computing, or energy-efficient computing. Monash University strongly advocates diversity, equality, fairness and
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work alongside leading researchers, industry partners and stakeholders to accelerate the translation of breakthrough ideas into secure, cloud-native products. You'll combine hands-on technical leadership
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model, uplift service delivery, and ensure the function is positioned to respond effectively to an evolving threat landscape spanning cloud, identity, SaaS, supply chain, and AI-enabled risks. You will
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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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to cloud-based machine learning services, on-device ML is privacy-friendly, of low latency, and can work offline. User data will remain at the mobile device for ML inference. Problems: In order to enable
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. "Studying the origin of the new discovered class of weak CN stars in the Magellanic Clouds using stellar variability" "How do stars merge? Studying the merger between low and intermediate-mass main-sequence