81 materials-science-"Aston-University--------" research jobs at The University of Queensland
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opportunities via the academic promotions process. About You Completion of a PhD qualification in Chemical, Materials, Mechanical or Biomedical Engineering, or an equivalent combination of relevant experience and
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suit science and engineering graduates with practical experience in a laboratory environment. Experience in material science, food characterisation, rheology is preferred. Key responsibilities will
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or exhibiting in high quality outlets Contribute to preparation of reports to funding agencies and management of project budgets. Contribute to progressing towards transfer of knowledge, technology and practices
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Agreement. About You Completion of a degree level qualification in cell biology and/or molecular biology; or completion of a Diploma with relevant work experience; or an equivalent combination of relevant
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projects and applications for competitive research funding support. Contribute to progressing towards transfer of knowledge, technology and practices to research end users through translation, including
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of bioactive compounds, and material science. Produces quality research outputs consistent with discipline norms by publishing or exhibiting in high-quality outlets. Participate in applications for competitive
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Opportunity We are seeking to appoint a Professorial Research Fellow in Clinical Trials and Health Economics to provide methodological leadership and health economics leadership to the Centre of Health Services
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engineering strategies to improve strain performance. Produce quality research outputs consistent with discipline norms by publishing or exhibiting in high quality outlets. Participate in applications
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quality research outcomes at all stages of the research life-cycle. Responsibilities Performs molecular biology experiments, including cloning, PCR, display libraries, protein expression and purification
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intensive care data to develop risk prediction models, and translate models into clinical practice. The successful applicant will ideally have a growing research profile in data science, machine learning