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practical knowledge of protein purification, ensemble biochemistry, and sample preparation to support your biophysical studies; • interact with biochemist and structural biology collaborators based
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. The position is available for a fixed term of 36 months from time of appointment. This project is associated with a new EPSRC/UKRI-funded project entitled “Mastering charge-lattice interactions in novel
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opportunity to teach. Applicants should hold, or be close to completing, a PhD in plasma physics or high-power laser-plasma interactions. They should have extensive experience of working with particle-in-cell
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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to reveal cells, genes, proteins and pathways underlying the infection process, parasite development and interaction with the hosts. These findings are further validated by in situ localization of gene
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analyze the resulting datasets using biophysical modelling. A willingness to learn and employ biochemical approaches and interact with external collaborators in molecular biology and biochemistry
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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are governed by the specific intermolecular interactions responsible for stabilising the chains. This presents an exciting opportunity to demonstrate how fundamental principles from physical chemistry have been
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are governed by the specific intermolecular interactions responsible for stabilising the chains. This presents an exciting opportunity to demonstrate how fundamental principles from physical chemistry have been
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assessing sustainable routes for large-scale removal of greenhouse gases from the atmosphere. As well as interact with others in this programme within the duration of the post, and the results of the PDRA