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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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. This position will focus on one key stream: understanding and improving the interaction between EVs and roadside barriers. This will involve: Modelling EV crash dynamics with conventional and SRB barriers
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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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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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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, 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
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at how to apply for a research degree . In your EOI, nominate Dr Crichton as your proposed principal supervisor, and copy the link to this scholarship web page into question two of the financial details
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to apply for a research degree . In your EOI, copy the link to this scholarship website into Question 2 of the financial details section. About the scholarship The candidate will be supervised by Prof Cheng
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degree . In your EOI, copy the link to this scholarship website into Question 2 of the Financial details section. About the scholarship The candidate will be supervised by Prof Cheng Yan and an expert team