204 engineering-"https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs in Australia
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science, statistics, biomedical engineering or a related field strong programming skills in R or Python experience working with spatial omics data, histopathological data, or related large-scale biological datasets
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to join Macquarie University’s School of Engineering and contribute to the project “Energy on Wheels: A New Approach to the Smart Grid with Electric Vehicles,” a project funded by the Australian Research
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Health and Technology team puts young people at the centre of their own care. We partner with health services to develop innovative treatments for those aged 12-25 with emerging mental health disorders
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established processes. Interest in supporting research within a computer science or technology-focused environment. This role is well suited to candidates seeking experience in a research environment while
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cardiovascular disease and developing next-generation regenerative medicine approaches. Our research integrates human induced pluripotent stem cell technologies, cardiac tissue engineering, organoid models
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position for up to 3 years Base salary will be in
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Faculty of Engineering, Architecture and Information Technology / Sustainable Minerals Institute Full-time fixed-term position for up to 1 year Base salary will be in the range $85,372.89
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School of Chemical Engineering – Faculty of EAIT Part-time (80%), fixed-term position for up to 31 December 2028 Base salary will be in the range $119,462.94 - $141,545.09 + 17% super (Academic
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applying a range of economic methods such as economic evaluation, health technology assessment or health utilisation modelling Strong analytical skills and ability to build partnerships Track record
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, the Australian Institute of Bioengineering and Nanotechnology. This work, supported by an ARC Discovery Project, integrates protein biochemistry, physiological characterisation, cyanobacterial genetic engineering