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being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff
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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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modelling of laser shock peening. Molecular Dynamics (MD) and Finite Element (FE) simulations will be combined to account for the complex physical phenomena and their different scales. The interdependence
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crucial role in paper manufacturing, enhancing paper strength, surface properties, and printability. However, variability in starch quality, processing conditions, and raw material properties can
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will acquire Electronic structure theory calculations of materials, atomistic molecular simulation methods Experience with machine learning methods Expertise in surface science characterization
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) together with in-house molecular biology and biochemistry, all housed in a brand-new building with high quality laboratory spaces. Studying the dynamics of DNA replication and chromatin organization
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, involving both phase change, particle collision and mechanical action. From a fundamental scientific standpoint, there is still a great deal to understand about this process, despite its common use in
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Applications are invited for a fully funded fixed-term position at the Research Associate (PostDoc) level in de-risking cirrus modification. Cirrus cloud modification (CCM) could in-theory mitigate
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into the role of community sport in fostering stronger intergenerational relationships, to create opportunities for health equality, social cohesion and collective action. Using a qualitative case study
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You will lead the qualitative work to understand how individuals experienced the intervention and app how it worked. This will directly impact the design and refinement of the intervention, and so