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quantitatively evaluate sustainability aspects of vaccine development and contribute to developing best practice for environmental footpr inting of biotechnology processes. In addition, the post holder will use
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, computational modeling, and data analysis for studying human motor learning is a plus. The review process is competitive, based on academic record, as well as professional and extra-curricular experience. Basic
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stream to analyse is that of production scrap, which can be recovered through a range of low impact recycling processes. Another waste stream comes from the chemicals used in battery production, which need
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for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing
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of specialized field, process or discipline. May require experience with specialized software programs. Additional Qualifications Considered Due to grant stipulations, you must be a US Citizen, Permanent Resident
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About the Role The post is based in the Centre for Trauma Sciences within the Centre for Neuroscience, Surgery and Trauma at the Blizard Institute. The Trauma Sciences research team
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, participation in research projects: 20% of the final grade competences to carry out specific tasks in the research project: 30% of the final grade Selection process Important dates: the deadline for submission
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an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a
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represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and proactively to problem solve Application Process To apply, please upload: A covering
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initiatives. Good communication, interpersonal and oral presentation skills. Good polymer science and hollow fiber membrane fabrication and modification background. Good knowledge of membrane processes. Good