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innovative models to improve farm performance and decision-making Drive impactful research that shapes the future of Australian agriculture About CSIRO As Australia's national science agency, CSIRO is solving
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for Tunnel Boring Machine (TBM) tunnelling and excavation Developing large language model enhanced
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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acquisition tools, signal processing methods and advanced data analytics. The successful candidate will also develop computational models of light transport in biological tissues, including Monte Carlo-based
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of placental function and reduce the risk of stillbirth. This post forms part of the internationally funded Wellcome Trust programme, which aims to develop new approaches to measure, model and predict pregnancy
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students involved in the project. About you We are looking for someone with: A PhD, or a PhD nearing completion at the time of appointment, or equivalent research experience, in cognitive neuroscience
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11th October 2026 Languages English Norsk Bokmål English English Faculty of Health Sciences / Department of Pharmacy PhD Fellow in Pharmacoepidemiology Apply for this job See advertisement
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conditions. The successful candidate will have (or soon have) a PhD degree (or soon to have), or equivalent qualifications or experience relevant to atmospheric chemistry. Experience in laboratory atmospheric
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• PhD in Chemistry, Materials Science, Chemical Engineering, Physics, or a related discipline. • Strong experimental research skills with a good publication record. • Experience in advanced
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modelling, immunometabolism, and regenerative medicine within a large, well‑funded collaborative programme. About you You will hold a PhD/DPhil or equivalent a relevant discipline along with: Strong hands