441 professor-computer "https:" "https:" "https:" "https:" "University of Aberdeen" positions at Monash University
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. Enquiries: Associate Professor Markus Wagner, Interim Head of Department, markus.wagner@monash.edu Position Descriptions: Lecturer - Level B - DSAI AI in Health Senior Lecturer - Level C - DSAI AI in Health
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checks required for the role, as determined by the University. Enquiries: Professor Michaela Rankin, Head of Accounting, Faculty of Business and Economics - Michaela.Rankin@monash.edu Position Description
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-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor Nicole Kalms, Lab Director (Associate Dean - Research) - 0408 006 636 Position Description
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connection to the region – socially, economically and culturally. The program is designed to ease the full cost of study for international students – combining tuition support, travel and relocation assistance
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Ilic, Professor Teaching and Learning, dragan.ilic@monash.edu Position Description: Professional Education Officer Applications Close: Sunday 29th March 2026 at 11:55pm AEST Supporting a diverse
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the University. Enquiries: Professor Chen Chen, Deputy Head of Department, chen.chen2@monash.edu Applications Close: Applications will be accepted as they are received. Supporting a diverse workforce
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program that advances the understanding within the scientific fields of brain and mental health. This position will contribute to the research priorities of the Turner Institute for Brain and Mental Health
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Duration: 3.5 years fixed-term appointment Supervisory Team: Professor Elizabeth Manias (Main Supervisor) The successful candidate will be supported by a multidisciplinary project team with expertise in
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-employment and/or background checks required for the role, as determined by the University. Enquiries: Associate Professor Daniel Horsley, School of Mathematics, daniel.horsley@monash.edu Position Description
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. This work combines computational modelling and simulation with biological experiments that are analysed using cutting-edge computer vision techniques. We collaborate closely with Macquarie University where