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Documents Original or certified copies of your academic transcripts and certificates A certified copy of your Australian passport or birth certificate (if born in Australia), or a certified copy of
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grow new materials by molecular beam epitaxy, or create heterostructures of materials by exfoliating and stacking atomically thin layers from crystals, and fabricate nanoscale electronic devices
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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invite you to apply and request a copy of your CV together with a covering letter outlining your relevant qualifications, experience, research experience, and reasons for applying for the scholarship
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 2 days ago
Soil Model for Australian Broadacre Cropping and Livestock Producers Location: Australia wide – Bathurst, Wagga, Albury, Sydney, Melbourne, Canberra Salary: $42,483 per year Get paid while you develop
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are looking for a motivated and capable researcher who is eager to grow into this opportunity. The selection panel will use the following criteria: Familiarity with crop simulation models (e.g. APSIM, DSSAT
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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
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will work within a dynamic, multidisciplinary research environment, with access to state-of-the-art facilities and direct industry engagement. About You To be suitable for this role you will need to have
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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predictive capability for post-TAVR outcomes against traditional metrics. iii) Incorporate the AI-based frailty evaluation into surgical risk scores for a comprehensive risk prediction. iv) Examine the model's