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- Crohn’s & Colitis Australia IBD PhD Scholarship
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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manufacturing sectors into valuable products. The scholarship will support one student to work on the development of novel biomass based adsorbents for CO2 capture. A combined experimental and simulation methods
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on animal models of glioblastoma to evaluate the effectiveness of the selected DDS in tumour growth inhibition, survival rate, biocompatibility and brain targeting efficiency. Aims • Develop a novel and
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your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section. About the scholarship This PhD project is part of the ARC Training
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Council) PhD scholarships are funded via the ARC discovery project “Modelling, Design and Development of a Novel Wave-Energy Converter”. The purpose of these scholarships is to support outstanding students
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degree In your EOI, nominate Associate Professor Zephanie Tyack as your proposed principal supervisor, and copy the link to this scholarship website into question two of the financial details section
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comparing our experimental observations to predictions made using the Standard Model of Particle Physics. I am a member of the LHCb collaboration, one of the four large experiments at the Large Hadron
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degree . In your EOI, nominate Dr Mahboobeh Shahbazi as your proposed principal supervisor, and copy the link to this scholarship website into Question 2 of the Financial details section. About the
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low emulsifier diet in treating Crohn’s disease’. Dietary emulsifiers are a category of food additives that are found readily available in the food supply. In animal models, emulsifiers cause
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research