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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
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. You’ll bring strong technical capability across data extraction and transformation, visualisation, database querying and automation, with experience using tools such as Python and process mapping software
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related field. Strong analytical and manuscript preparation skills, experience analysing complex clinical or biological datasets and the ability to develop well-documented code in R, Python or another
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graphs or multi-agent reinforcement learning. Strong programming skills in Python and AI frameworks such as PyTorch, JAX or TensorFlow, combined with excellent analytical, problem-solving, communication
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learning, materials characterisation or computational materials science. Previous experience with machine learning, computer vision, graph neural networks, Python, SEM/EBSD, XRD, image analysis
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Huntington’s disease neuroimaging machine-learning models. The position will design, build and document a responsive, serverless platform enabling Python-based models, including scikit-learn, LightGBM and
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operations. Knowledge and understanding of BIND DNS, Linux systems and automation tools (Ansible, Python) would be an advantage. About Monash University At Monash , work feels different. There’s a sense of
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Familiarity with Python and Callista data is desirable About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where
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Python and/or Julia using LINUX-based OS. Communication of findings through journal publications, conference presentations and project reports. Candidate Requirements Applicants must satisfy the criteria
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deep learning and large language models, is desirable. Experience with Python and common machine learning frameworks (such as PyTorch or TensorFlow) is highly valued. Familiarity with topics such as