24 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at Monash University
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Research Fellow in Neurocognition & Modelling Job No.: 684026 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
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Research Fellow in Earth System modelling Job No.: 682250 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
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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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(written and verbal), ability to collaborate effectively. If you would like to be part of an impactful cutting‑edge research project focused on solving pressing challenges of modeling temporal dynamics in
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The Opportunity The Drug Delivery, Disposition and Dynamics (D4) Theme is seeking a motivated and talented Research Fellow to join our team. In this role, you will contribute to a novel project investigating the
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the molecular mechanisms behind heart defects and cardiomyopathies using cutting-edge technologies such as human induced-pluripotent stem cells (hiPSCs), CRISPR gene editing, 3D organoids, and engineered heart
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, education, and innovation. As one of the largest and most dynamic schools of public health in the Asia-Pacific, SPHPM integrates excellence across disciplines including epidemiology, clinical trials
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internationally recognised TRACK-FA dataset, applying computational modelling and neuroimaging analysis to explore brain structure-function relationships and identify imaging biomarkers that could inform future
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focused on advancing personalised and innovative approaches to addiction care. This dynamic and collaborative position works closely with a multidisciplinary team of neuroimagers, computational modellers
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-care data is used to refine clinical practice and improve survival worldwide. This position offers the opportunity to: Develop and implement advanced data pipelines and predictive models using