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instance learning and weak supervision / spatial transcriptomics models to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine
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observational research (e.g., simulations) and/or lab or field experiments Experience with the analysis (e.g., sequential analysis, multilevel modelling) and interpretation (e.g., conference presentation
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on Country by exploring best-practice models of social and cultural engagement, advocacy, agency and justice. For More Information, read the TRaCE flyer . Watch our TRaCE First Nations HDR Scholarship webinar
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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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effective digital platform for analyzing, visualising and interpreting the condition of civil engineering structures. The digital twin models are created to represent the state and behaviour of structures in
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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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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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PhD project to develop theoretical computations and modelling methods to guide and optimise the synthesis conditions and composition of electrocatalysts. PhD project to develop theoretical
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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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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