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technologies. Design and perform experiments using Solent University’s Engine Room Simulator to validate models and explore practical decarbonisation solutions. Produce technical reports, engage with industry
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. The successful applicant will investigate the structure, dynamics, and motility of the bacterial Type IV pilus (T4P) machinery in the model organism Thermus thermophilus using theoretical modelling, simulation
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group with expertise in primary headache disorders, electrophysiology, disease modelling, behaviour, chemogenetics and in vivo neural imaging technologies. The Headache Group is part of the WSPaRC, with
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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science, industrial ecology, geography, economics, environmental science). You will bring expertise in food systems modelling, supported by a strong technical background that may span areas such as data
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to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has evolved and is distributed on this tree, and it is the foundation that enables us to use model organisms
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, economics, environmental science). You will bring expertise in food systems modelling, supported by a strong technical background that may span areas such as data science, input–output analysis, applied
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-edge projects in random growth models, the KPZ universality class, and probability theory. The successful candidate will work closely with Dr Busani and collaborators within the Maxwell Institute
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international collaborations they will produce single-cell genomic data and contribute to gene regulatory network models to predict gene expression associated with cold tolerance. The post-holder will test the
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megakaryocyte cell communication and coordination. We will employ a range of approaches including advanced microscopy (confocal and intravital), models of thrombus formation (ex vivo and in vivo ), and flow