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will support the Creative Destruction Lab (CDL) program by managing the application and admissions process, including engaging with applicants, coordinating interviews, and assessing submissions
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Research Program Officer – Blood Synergy Program Job No.: 684863 Location: 553 St Kilda Road, Melbourne Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $96,768
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University is seeking a Senior Management Accountant to provide high-level financial management and strategic budgeting within the Faculty of Medicine, Nursing and Health Sciences. This role supports
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services, alumni engagement, and advancement to further the goals of the new Student Management System Transformation (SMST) program. In this pivotal role, you will provide technical leadership across
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. An invitation to take part in Monash Minds , a leadership program for first year students. Number offered Two scholarships available. Selection criteria Awarded based on need. Preference will be given
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This project focuses on brain network mechanisms underlying anaesthetic-induced loss of consciousness through the application of simultaneous EEG/MEG and neural inference and network analysis methods. In this work we study the effects putative NMDA antagonists xenon, a potent anaesthetic, and...
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Senior Engineer - Embedded Sensor Edge Computing Job No.: 684252 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $120,138 - $132,610 pa HEW
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Relevant bibliography: - Chades, I., Carwardine, J., Martin, T., Nicol, S., Sabbadin, R., & Buffet, O. (2012). MOMDPs: a solution for modelling adaptive management problems. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 26, No. 1, pp. 267-273). - Blau, T., Bonilla, E....
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Head of School and Professor, School of Social Sciences Job No.: 684541 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: Level E (plus 17% employer
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the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems