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The scholarship provides a minimum stipend of $34,481 each year for three years to perform experimental investigations and developing mathematical models to valorize waste and produce carbon nano
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conjunction with the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T), is looking for an exceptionally high-performing student to perform advanced theoretical work in
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@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent
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experiments. The work is expected to be high impact, having already been published in Nature , and will provide excellent career possibilities for a talented and driven student. The aim of this project is to
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machine learning approaches show issues in model performance and efficiency and vulnerability towards the application of noise over a large number of distributed models. These issues should be overcome by
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jianzhen.ou@rmit.edu.au for details Contact jianzhen.ou@rmit.edu.au for details Experiences in Materials Engineering, Electronic Engineering, and Photonic Engineering Experiences in Materials Engineering
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requiring acceptance Essential skills An H1 or H2A bachelor's degree in the relevant discipline area or equivalent accreditation and standing, with a primary study area in Chemical Engineering or equivalent
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healthcare organisation, on exploring the convergence of three key mega-trends and the consequential rise of hybrid virtual care models and their application across the APAC region. The three megatrends are (i
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The development of advanced nanofiber membranes with engineered 2D nanochannels represents a transformative approach to addressing critical challenges in energy harvesting and carbon capture. By
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, including members specialising in biology, microfluidics, machine learning and clinical research from RMIT University and Leading Technology Group (LTG). LTG is an Australian group of medical research