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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
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continuum, from postgraduate research students through to senior researchers. The Pro Vice-Chancellor (Researcher Development) (PVC) is the academic leader for Research Masters and PhD programs, providing
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well as alongside two PhD students also funded to work on the project. The research will be supported by Monash’s world-class research infrastructure in electron microscopy. This includes the Monash Centre
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activities. The successful candidate will have: A PhD qualification in medicinal or organic chemistry Experience in the synthesis of small molecules An understanding of pharmacology and/or drug development
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candidate will hold a PhD in Mathematics or a closely related discipline, with a strong background in edge decomposition of graphs or fractional structures in graphs. You will have the ability to solve
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Participate in seminars, workshops, and conferences related to combinatorics and graph theory The successful candidate will hold a PhD in Mathematics or a closely related discipline, with a strong background in
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to optimise instrument performance. The successful applicant will have demonstrated understanding and knowledge in the theory and application of S/TEM and a PhD or equivalent qualification and will possess
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applicant will have advanced understanding and knowledge in the theory and application of S/TEM and a PhD or equivalent qualification and will possess sound interpersonal skills, along with excellent written