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. Skills Terms programming; R; Python; Statistical methods; machine learning; differential expression; bulk RNAseq; scRNAseq; Linux/unix; spatial transcriptomics URLs/references https://ramialison
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systems that act as intelligent collaborators: understanding project goals, decomposing problems, writing and testing code, and learning from feedback. 🔍 Research Objectives Design an Agentic SWE
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systems that act as intelligent collaborators: understanding project goals, decomposing problems, writing and testing code, and learning from feedback. 🔍 Research Objectives Design an Agentic SWE
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-Ouellette, S., & Rudzicz, F. (2021). BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience . [2] https
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-Ouellette, S., & Rudzicz, F. (2021). BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience . [2] https
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Primary supervisor Chern Hong Lim Co-supervisors Bisan Alsalibi Yasmeen George Research area Data Science and Artificial Intelligence While deep learning has shown remarkable performance in medical
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Kwan Dr Shahid Javaid Dr Ana Antonic-Baker Research area Machine Learning Using the Project-1 hiPSC platform, this project builds AI pipelines to learn disease-relevant representations from cellular
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Kwan Dr Shahid Javaid Dr Ana Antonic-Baker Research area Machine Learning Using the Project-1 hiPSC platform, this project builds AI pipelines to learn disease-relevant representations from cellular
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programming background with fundamentals in machine learning and data science. Experience in building visualisations and interactive immersive environments (using game engines like Unity3D) is
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modelling and machine learning. Project funding Project based scholarship Funding reference https://www.monash.edu/it/environmental-informatics-hub Learn more about minimum entry requirements .