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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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to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by
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geochemical modelling is encouraged but not mandatory Application process Please contact us via the EOI form with the following Curriculum vitae Academic transcripts A cover letter (no more than 2 sides A4
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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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models of road safety beyond the individual risk and protective factors to include community and societal influences. While ecological approaches have been applied in the past, the combination with
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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