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Intelligence, Computer Science, Human-Computer Interaction, and Information Systems. The School of Chemical and Biomedical Engineering (CBE): Sustainability & Circular Economy, Pharmaceutical processing, Food
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computation in biophysics, condensed matter physics or physical chemistry. have experience in atomistic simulations of membrane protein systems. A strong preference will be given to applicants with experience
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required work on a variety of projects, particularly focusing on preparing high-quality health technology assessments evaluation reports. The program of work encompasses of a range of projects that may
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, Mathematics or Computer Science. To be successful in this position, you’ll have: Demonstrated experience in computational modelling relevant to the project. Evidence of research output including publications
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successful academic research career trajectory. You will also have: Completion (or near completion) of a PhD in statistics, data science, mathematics, computational biology, or a related discipline Strong
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biology. As a highly motivated post-doctoral fellow, you will collaborate with multidisciplinary teams of mathematical, computational, and biological scientists to develop and apply statistical and machine
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or computational biology, theoretical physics, or a related discipline. Knowledge in dynamical systems and algebraic methods for mathematical modelling (e.g. graph theory and linear algebra methods). Experience in
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partners in the School of Science and beyond. You will be required to undertake research activities in line with the University’s research strategy. In this position you will carry out independent and/or
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, computer science, or a related field. Expertise in human neuroimaging techniques, particularly fMRI Demonstrated experience in advanced computational analyses of neuroimaging data, including, machine
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partners. This position is part of the new Swinburne-CSIRO joint program on Sustainable Mineral Processing and Green Steel, aimed at addressing global decarbonization challenges through innovative green