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Project Supervisor - Dr Jonathan Kirby The field of complex numbers is in many ways the most elegant and important example of a mathematical structure in model theory. It has been the prototype
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, or toxicity. These issues stem from the rigid, hydrophobic, and synthetically challenging frameworks typical of complex NPs. In this project, we aim to overcome these limitations by using biocatalysis, a green
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liquid methods, facilitating improved battery lifespan, reliability, and safety during ultra-fast charging and high discharge cycles. However, the multi-scale thermofluid dynamics complexities of boiling
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
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about the vibrational (phonon) dynamics of a molecule’s interactions with its environment [2]. We will extend this to, e.g., complex molecules, ultimately seeking to identify photonic signatures of non
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(Beraza and Rushworth) whose work have a strong translational aim. This team will train the PhD student in a series of preclinical in vivo models; molecular biology and immunology methodologies; and complex
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unified artificial intelligence (AI) model capable of segmenting 3D medical images from standard clinical scans and generating 3D meshes across multiple imaging modalities. The project will also investigate
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, and how they will evolve under future global change. To accurately assess the combined impact of different greenhouse-gases on climate it is important to use models that integrate the underlying carbon
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, are crucial for modelling volcanic processes and are vital for understanding the transitions. Geophysical monitoring provides essential information to constrain these parameters and inform decision
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impacts of barrier winds and tip jets in current and future climates via time-slice comparisons from state-of-the-art climate model simulations. Training You will use observations from a series of Norwegian