206 computing "https:" "https:" "https:" "University of St" Fellowship research jobs in Australia
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presentation skills, with the ability to engage effectively with diverse audiences. Highly organised with strong planning, research, and computer literacy skills to manage research projects and administrative
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School of Electrical Engineering and Computer Science Full-time, fixed-term position for up to 3 years Base salary will be in the range $104,209.38 - $111,431.10 + 17% Superannuation (Academic Level
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to build your research profile within a collaborative, high-performing team tackling real-world health challenges. Key responsibilities will include: Research: Develop a coherent research program in
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support an ongoing research program focused on understanding the mechanisms of chronic pain and advancing T cell-based immunotherapeutic approaches. The role involves designing and conducting experiments
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brain health. We are seeking a highly motivated Research Fellow to join a multidisciplinary and multi-institutional research program within the CDCO Academic Node. This role focuses on evaluating novel
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will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals, and participate in project discussions. Utilise
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of the production of future food and alternative proteins, priority areas of interest are highlighted below: Cultivated meat: examples include a research program on cell line development, cell
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· Part time fixed term until 2 March 2027 · Research Fellow role supporting research program in skin cancer prevention and treatment for high‑risk populations-including high risk kidney
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exposed to laser-accelerated intense proton beams. Primarily, the tasks are to be done by means of analytical calculations and high-performance computing simulations in a strong link with the industrial
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recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in modelling infectious disease dynamics, population