21 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at Monash University in Australia
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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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industry to facilitate and coordinate new research collaboration and initiatives Proficiency in relevant programming, data analysis and modelling tools (e.g., Python, AI/ML, Simulation software – SUMO, Agent
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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 opportunity to lead the co-development of research design and coordinate a dynamic, interdisciplinary research coalition. You will be responsible for conducting systems analysis across key regions, managing
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profile through laboratory experimentation, advanced microstructural characterisation and thermodynamic and kinetic modelling, and you are motivated to contribute to high quality publications and to
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valuable asset, so we work to grow and diversify the skills and successes of our staff. We invite you to apply to join us as part of our dynamic learning programs and high-quality research environment
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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