27 postdoctoral-computer-optimization Fellowship research jobs at Monash University in Australia
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Postdoctoral Research Fellow Job No.: 675222 Location: Clayton campus Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: $83,280 - $113,025 pa Level A (plus 17
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optimization, and covalent drug design. Collaborating with researchers and engineers at the Monash Institute of Pharmaceutical Sciences and QDX Technologies to implement scalable AI–quantum hybrid platforms
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optimisation or computational problem-solving. Experience with optimisation tools such as MiniZinc or similar platforms. Proven ability to work independently and collaboratively on research projects
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Join Monash University’s cutting‑edge mathematical research in the Faculty of Science as a Research Fellow and contribute to computational and theoretical aspects of Dynamical Systems. This position will
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of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides
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projects involving multi-electrode array recordings in behaving animals, using techniques including electrophysiology, psychophysics, computational modelling and advanced quantitative analysis. This position
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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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outputs, publications, and presentations. In this role, you will design research frameworks, develop qualitative survey methodologies, and engage with media and social platforms to promote the program. You
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, proximal transducer assays, second messenger assays) to understand GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary