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Field
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tasks requiring initiative and judgment by applying basic knowledge and understanding of empirical methodologies and models. General instructions provided by the faculty supervisor as needed. May
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CO2 biomethanisation, coupled with a good knowledge of quantitative analytical techniques and bioreactor kinetic models. A hands-on approach and strong skills in experimental rig design and process
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knowledge in statistical modeling, data science, exploratory analysis, and natural language processing applied to judicial texts and empirical legal studies is highly desirable. The project will begin between
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Paper (Geoscience Characterisation (data acquisition, integration, and modelling), Rock Mass Conditioning technologies, Geo-risk Management and hazard modelling, Material Flow in Deep Cave Mines, Mining
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scalable methods for understanding the inner workings of large language models and developing functionally-grounded steering and control techniques. The successful candidate will contribute to frontier
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learning and mechanistic modelling, sensor network development, efficient data sorting and processing algorithms, real-time and model predictive control, and transformative applications in the wastewater
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by applying basic knowledge and understanding of empirical methodologies and models. General instructions provided by the faculty supervisor as needed. May interpret research results in collaboration
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leading research-intensive Universities? The University of Leeds is recruiting a postdoctoral researcher to characterise and model the evolution of glacial lakes across High Mountain Asia. We are looking
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on genetic cardiomyopathy, particularly hypertrophic and arrhythmogenic cardiomyopathy subtypes. We utilize both iPSC-derived cardiomyocyte and mouse models. We generate gene-edited, reporter knock-in, and
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, optimise, and design experiments using lab-scale bioreactor systems. You will generate the high-quality biological datasets required to train the biological layer of a digital twin, a computational model