208 information-technology-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in Australia
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Research Fellow, Data Scientist (Wearable Technologies, Digital Health & Artificial Intelligence) Job No.: 697562 Location: Clayton campus Employment Type: Full-time Duration: 3-years fixed-term
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 21 hours ago
University, Wallumattagal Campus, North Ryde The role We are seeking a Postdoctoral Fellow, to join our category theory group. This position is associated with Dr. Jean-Simon Pacaud Lemay's AFOSR grant FA9550
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Postdoctoral Research Fellow - Chemical and Biological Engineering Job No.: 698489 Location: Clayton campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $86,195
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skilled Data Scientist, you will work alongside leading researchers, clinicians, AI specialists, and technical experts, leveraging cutting-edge technologies and world-class research infrastructure
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IT skills, including familiarity with Linux/Unix environments and HPC systems experience in assisting with the supervision of students undertaking undergraduate or higher degree research projects good
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position for up to 12 months Base salary will be in
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Research Fellow - Chemical & Biological Engineering Job No.: 697580 Location: Clayton campus Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $86,195 - $116,981 pa
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Faculty of Engineering, Architecture and Information Technology / Sustainable Minerals Institute Full-time fixed-term position for up to 3 years Base salary will be in the range $85,372.89
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focused on the development and application of recycled and waste-derived materials for advanced engineering systems. The role will emphasise computational modelling, simulation, and data-driven approaches
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and multidisciplinary engineering teams to support system integration, ensuring alignment between modelling, experimental validation, and overall system performance. Key Responsibilities: Design and