44 condition-monitoring-machine-learning Fellowship research jobs at Monash University
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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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Ability to work independently and collaboratively within an interdisciplinary team Excellent organisational, communication, and interpersonal skills Advanced computer skills, including Microsoft Office and
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for publication. Familiarity with fMRI research methods or experience working with people with addictive disorders or mental health conditions will also be highly regarded. If you are motivated to advance your
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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-quality research publications in econometrics or related fields. You will possess the ability to solve complex statistical problems, show advanced computer literacy with proficiency in relevant software
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to work independently and collaboratively. Advanced planning, time management, and written communication skills are essential, along with proven computer literacy and proficiency in relevant software and
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people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering is seeking applications for a Level A Research Fellow to contribute to a high-impact research project
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FluCAN and linking it with state and national databases to monitor infection trends, severity and the effectiveness of interventions. By producing timely reports and dashboards, this role supports
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% employer superannuation Be at the forefront of neurological research and innovation Join a department dedicated to improving care for people with neurological conditions Contribute to a high-impact biosensor