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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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“Revealing Order in Organic Semiconductors with Cryo-Electron Microscopy.” The successful candidate will apply and develop advanced cryo-electron diffraction and imaging methods to uncover structure–property
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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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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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assays, including cell-based signalling assays and downstream pathway analysis. About you A PhD in Pharmacology, Molecular Biology, Biomedical Science, or a related discipline. Strong hands-on experience
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) using a beam blanker to solve important problems in materials science. The position will develop and apply methods using an aberration-corrected FEG-TEM with beam blanker and pixelated, single electron
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, and, more broadly, in the physics of imaging and materials science. The position will utilise instruments in the Monash Centre for Electron Microscopy which has a powerful suite of instrumentation