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-generation catalysts and integrated devices for renewable-fuel production. This position is particularly suited to an emerging researcher seeking to build a strong independent research profile through high
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by combining plant performance, physiology, and functional traits Access cutting-edge field and analytical approaches while building your academic career THE ROLE An exciting opportunity for a
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machine learning, mathematical modelling and algorithm design to enable autonomous operation of large satellite constellations. You will also develop an open-source simulation and benchmarking platform
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scholarship and meaningful public outreach. More information about CSKI and the fellowship program is available at https://www.mq.edu.au/faculty-of-arts/schools/school-of-international-
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devices under pressure, strain, bending, cyclic loading, and dynamic mechanical deformation Optimisation of sensor performance, including sensitivity, response time, hysteresis, durability, stability, and
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working options Training and professional development Onsite childcare facilities Discounted health insurance (Medibank) Onsite vacation care Employee Assistance Program Subsidised membership at the Sport
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to understand and optimise material and system performance. Key Responsibilities: Develop and apply computational models (e.g., FEA, COMSOL, ANSYS) to evaluate material and system behaviour under operating
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differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful applicant must have completed
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, electromagnetic modelling, and system-level performance analysis. The successful candidate will lead simulation activities using tools such as COMSOL, ANSYS, or equivalent, and support laboratory-based testing
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environment, Experience in developing, optimising and performing multi colour flow cytometry panels, ideally using peripheral human immune cells (PBMC’s, monocytes, T-cells etc), Careful attention to detail and