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of data, expert knowledge, computational models, digital twins, and advanced artificial intelligence within a new intelligent decision-support framework. This position corresponds to Doctoral Candidate 15
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applications. As AI models continue to increase in size and computational complexity, the demand for high-bandwidth, low-latency, and energy-efficient interconnects has become one of the key technological
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will be to quantify how mixing aircraft with strongly differing performance characteristics affects safety, efficiency and capacity, and to develop the metrics and models needed to make those effects
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, advanced characterisation, computational modelling and artificial intelligence. Project Details Start: 2027, flexible by agreement Graduate research degree: Doctor of Philosophy (PhD) Location: Clayton
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dependencies in cell and primary patient models. Jointly supervised by Dr. Tianyi Zhang and Professors Guy Pratt and Sarah Dimeloe who will provide supervision in genome biology, immunology and immunotherapy and
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the shear-thinning and thixotropic behaviour of mucus. This work will incorporate mucus rheology, microfabrication and testing the resulting device on suitable benchtop intestinal models. You will gain
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developed mouse models and human tissue processing pipelines. The candidate will learn and use cutting edge immunological methods (high parameter flow cytometry, multiplex imaging, single cell and spatial
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Position Description About the position We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work
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research exploring the processes controlling tropospheric composition (gases and particles) and their intersection with global change. Research makes extensive use of global modeling tools (GEOS-Chem and
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across multiple model systems. These observations raise fundamental questions: what endogenous small molecules sustain proteostasis during aging, can their supplementation prevent neurodegenerative (and