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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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from the development and preclinical evaluation of radiopharmaceuticals to biological characterization, quantitative image analysis, and assessment of treatment response. Within the research group, we
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, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design
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expertise in hydrology, geomorphology, community co-development and social science? Based in the Department of Civil and Environmental Engineering, you will contribute to the research project ‘CONVERSE
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homeostasis to better understand chronic diseases . Metabolic syndrome affects up to 40% of the population and substantially increases the risk of developing chronic diseases such as type 2 diabetes
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to the development of a multi-component framework for reliable and computationally efficient fatigue diagnosis and prognosis of steel structures. Building on the group's established expertise in virtual sensing and
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relating to financing, investment and infrastructure development. This means that there is an urgent need for more research relating to the law and policy that would contribute to effective climate change
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seeking a motivated individual to join the AI Group within the School of Computing at Newcastle University. The postholder will work on an EPSRC funded IAA project, leading the development and evaluation
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stakeholders’ preferences in terms of ‘productive agriculture’ and ‘healthy biodiversity’ into quantifiable impact indicators; Develop a spatial optimization algorithm that finds land use configurations
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and disease development after infection with Phytophthora or Ralstonia . You will combine these phenotyping data with bacterial and fungal microbiome profiles to build predictive models of pathogen