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revolutionized the field of artificial intelligence, leading to remarkable advancements across many applications ranging from image classification to natural language processing. Despite these successes
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These models are technology platforms that facilitate drug discovery and fundamental research. Our research is funded by Australian Research Council. This project aims to develop bio-microfluidic
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engineering background who has an interest in image reconstruction and/or modelling the mechanics of the heart. The project also has a sub aim of protecting the heart from radiation during radiation therapy
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interesting implications for standard models of hierarchical black hole growth. Aims This project aims to explore the optical/IR properties of the most extreme IFRSs, and confirm their redshift range
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internship project More information about University of Adelaide's Research Internships is available here . Application Process: To apply, please email the following documents to hdr_internships
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significant challenges. Your project will aim to solve these coupled chemo-mechanical problems through in situ characterisation and advanced modelling technologies. The expected outcomes will help develop next
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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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unique ovarian cancer animal model and blood samples from multiple human clinical trials. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in either immunology, oncology
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. Students with a clinical medicine (MD) background are also welcome to apply. Application process Future student, please contact us via the EOI form . Changes to Enrolment Recipients must complete
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. Adjustments can be requested at any time during the recruitment process. For Reasonable Adjustment requests, including accessible formats for the PD, application form or any other document, please contact DCR