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leading research in the development of cryo-EM methods to solve problems in an important class of challenging materials. This Level A Research Fellow position will contribute to the ARC Discovery Project
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Level B plus 17% superannuation • Shape clinical guidelines using innovative living evidence synthesis methods • Work with Cochrane Australia and the Australian Living Evidence Collaboration • Contribute
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spectroscopic methods for studying plant photosynthesis. If you would like to shape the future of plant stress biology with cutting‑edge research, then apply today! About Monash University At Monash , work feels
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will have: A PhD (or equivalent experience) in medicinal or synthetic chemistry Strong hands‑on laboratory experience in synthetic organic or medicinal chemistry Excellent analytical, organisational, and
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or qualitative and mixed-methods research related to the project. We are seeking someone with a doctoral qualification in a relevant discipline or equivalent experience in multidisciplinary research
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in healthcare. Monash Nursing and Midwifery is dedicated to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. To learn more about the School of Nursing and
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hold a PhD in chemical biology or a related life sciences discipline. Knowledge of metabolic and fibrosis indications would be advantageous. Please refer to the selection criteria for a complete listing
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. The successful candidate will hold a PhD in organic or medicinal chemistry discipline. Knowledge of metabolic and fibrosis indications would be advantageous. Please refer to the selection criteria for a complete
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) within the School of Public Health and Preventive Medicine (SPHPM) Monash University. As a major clinical research methods centre for Intensive Care across Australia and New Zealand, the centre delivers
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable