18 parallel-and-distributed-computing Fellowship positions at Monash University in Australia
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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and beyond. About You We're seeking a passionate individual who thrives both independently in a research environment and as a collaborative member of the History program. As the successful candidate 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
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Group’s research programme for the development of therapeutic biomolecules. You will work as part of a team using cutting edge synthetic techniques to develop safer drug targeting systems based
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., Native PAGE, cryo-EM) to GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary research teams Working under broad
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people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
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meaningful program of work that includes literature reviews, field research, data analysis and scientific writing. The role also involves preparing ethics applications and presenting research findings