23 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at Monash University
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Research Fellow - Molecular Pharmacologist Job No.: 687591 Location: Parkville campus Employment Type: Full-time Duration: 1 year fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A
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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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(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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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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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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join a dynamic team working on fundamental open problems in graph theory — apply today! About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing
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biology models Testing and evaluating new therapeutics in support of a drug discovery program Delivering high-quality, timely data to the MTDD–Servier joint project team Supporting project milestone
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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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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