9 computational-modelling positions at Swinburne University of Technology in Australia
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chemoreceptor activity. Your work will bridge both computational and experimental research, including validation using in vivo models, optimising light delivery systems, and aligning in vitro and in vivo findings
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nanoparticles in drug delivery or diagnostics, familiarity with cellular targeting, and use of computational tools to model nanoparticle behaviour. Experience in a regulated research environment is also
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the Data and AI Centre of Excellence, delivering innovative AI solutions, enabling the development of AI across the university and delivering impactful, data-driven machine learning models across
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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Construction Engineering are seeking an experienced and qualified academic to join the team and undertake teaching and research activities in areas related to transport engineering, including transport modelling
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to peer-reviewed academic publications Qualifications Completed undergraduate degree in physics, computer science, machine learning, computational modelling, or similar. About Swinburne University
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the Discipline Lead, Course Director, and academic colleagues to develop and review Allied Health courses, using blended models of unit delivery. Your responsibilities will include: · Preparing and
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the Collaborative Research Centre for Low Carbon Living. The project uses agent based modelling (ABM) to represent consumer behaviour, social networks and their responses to non-financial incentives and barriers in
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