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5 Jan 2026 Job Information Organisation/Company University of Melbourne Department School of Computing and Information Systems Research Field Computer science » Cybernetics Engineering » Mechanical
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at the intersection of mathematics, computation, and cancer biology. We develop mechanistic, predictive models of cellular decision-making to address fundamental and translational challenges in cancer, including drug
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Benefit duration One or more years Summary The Japan Society for the Promotion of Science and the Australian Academy of Science: Postdoctoral Fellowships Program in asasocation with the Australian Academy
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of two referees), a statement of research interests and achievements. Essential A PhD or equivalent degree in plasma physics/high energy density science/computational science. Experience in
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electronic engineering and/or applied mathematics, in particular, in one or more areas of learning, control and optimisation of multiagent systems. Experiences in dealing with complex networks and/or variable
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electrical and electronic engineering and/or applied mathematics, in particular, in one or more areas of learning, control and optimisation of multiagent systems. Experiences in dealing with complex networks
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Food and Beverage Accelerator Program : Based at the School of Agriculture and Food Sustainability Full-time (100%), fixed-term position for up to 1.5 years Base salary will be in the range
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Initiate, develop and conduct research programs in national and international arenas. Contribute to a dynamic program supporting the Metcalf Chair in Chemical Biology. Full-time appointment on a
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Although not required to apply, support and co-investment from a university or institute partner contributes to 25% of the application selection criteria. Any form of support and co-investment should be detailed in the application form. Type of assistance may include monetary or in-kind...
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electrical and electronic engineering and/or applied mathematics, in particular, in one or more areas of learning, control and optimisation of multiagent systems. Experiences in dealing with complex networks