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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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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
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challenge is to combine our best theories of fundamental physics to model what happens at ultra-short distances. This project will generate new knowledge at this interface by using a novel approach inspired
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(april.kartikasari@rmit.edu.au ). A copy of electronic academic transcripts A CV that includes any publications/awards and the contact details of two referees. To apply, please submit the following documents to Prof
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injection into a reservoir saturated by water from core scale up to the numerical cell or a reservoir is a challenge. For immiscible two-phase flow in layer-cake reservoirs, the models for pseudo relative
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Step 1: Expression of Interest: Before applying, prospective applicants must email the following to Dr Aliakbar Gholampour at aliakbar.gholampour@flinders.edu.au : A current CV A copy of your
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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are recruiting four PhD students for the following Projects: Project 1: Unifying on-farm data and crop models to enhance tactical crop decisions Summary: Despite the increasing availability of on-farm data and
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with digital twin modelling, remote sensing, and cloud computing is valued, as is a commitment to learning and advancing in these areas. The successful candidate will have the ability to work with large