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, paediatric, adolescent, and young adult (AYA) brain tumour; the most common cause of cancer-related death in Australian children. Despite numerous therapeutic approaches pursued under clinical trial conditions
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equations, and numerical methods. Advanced programming skills in languages such as Python, C++, MATLAB, or R. Strong academic curiosity and enthusiasm for the chosen research area. Application Process To
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) to conduct research in organic resource recovery project. The project will provide numerous development opportunities including: Developing lab-scale and pilot scale experimental rigs Developing numerical
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to Ganesh.Veluswamy@rmit.edu.au and kalpit.shah@rmit.edu.au Strong fundamental knowledge of chemical engineering principles, reaction kinetics, reactor designs and numerical modelling is important. Strong fundamental
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candidate will have a unique opportunity to work closely with researchers and technical experts from CSIRO in a multi-disciplinary team environment. The project will provide numerous research and development
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Based on lab scale experiments and literature review, develop numericals models to improve understanding on the relationship between organic feedstocks properties, hydrothermal process energy
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earthquake, will be investigated through a combination of experimental, numerical, and analytical studies. This scholarship application is open until filled. Student type Future Students Faculties and centres
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-year stipend scholarship to support pioneering research on wave energy converters. The successful candidate will work on cutting-edge experimental design and numerical modeling to better understand
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. Experience with numerical modelling techniques (e.g., DEM, FEM), computational fluid dynamics (CFD), and/or experimental methods (e.g., X-ray radiography, TDR) is highly desirable. Successful candidates will
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of Adelaide. Candidates should have experience with numerical methods and programming in Python/Matlab and be prepared to work with research volunteers. Eligibility: We welcome applications domestic applicants