175 structural-engineering "https:" "https:" "https:" "UCL" Fellowship research jobs in Australia
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20 Jan 2026 Job Information Organisation/Company FLINDERS UNIVERSITY Research Field Engineering Researcher Profile Recognised Researcher (R2) Application Deadline 16 Feb 2026 - 00:00 (UTC) Country
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, and health outcomes for individuals injured in motor vehicle crashes. Positioned within the technology-enabled rehabilitation research stream led by Professor Trevor Russell, the role requires
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will: Engineer microbial systems using cutting-edge synthetic biology tools and metabolic engineering strategies. Optimise yeast platforms for the sustainable production of high-value food ingredients
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Research Fellow - Data Scientist/Clinical Data Engineer Job No.: 690434 Location: 553 St Kilda Road Employment Type: Part-time, fraction (0.5) Duration: 12 month fixed-term appointment Remuneration
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experimental researchers to uncover pathways regulating stem cell function and fate. The successful candidate will be supported to build an independent research profile through structured mentorship in
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the Resources section of our webpage for full eligibility details. For potential applicants in Science, Technology, Engineering, Maths, and Medicine (STEMM): The MQLF scheme is highly competitive and it is
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experimental researchers to uncover pathways regulating stem cell function and fate. The successful candidate will be supported to build an independent research profile through structured mentorship in
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-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control Smart power and energy
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control
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opportunity for an early-career or emerging researcher to contribute to cutting-edge work in: Multiagent systems and distributed control Learning and optimisation Variable structure and sliding mode control