31 density-functional-theory-molecular-dynamics PhD positions at University of Cambridge
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PhD Studentship: Development of Next-Generation High-Performance Titanium Alloy for Aerospace Applications Funder: EPSRC and Rolls-Royce plc Duration: 3.5 years Supervisors: Professor Nick Jones and
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dynamics and tissue morphogenesis during embryo development using cellular, molecular and mechanical approaches. Cell movements underlie tissue patterns and shapes. Using chick embryos as the model system
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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molecular biology, quantitative imaging and biophysical approaches to investigate cell shape changes in cultured cells and in vivo. Current projects in the lab include investigating the regulation
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of Cambridge Department of Medicine Molecular Immunity Unit, housed within the MRC Laboratory of Molecular Biology. Shortlisted candidates will be invited to visit the institute to deliver a seminar and
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. This post will involve the use of cutting edge biochemical, proteomic, next generation sequencing and ribosome foot printing technologies. This position is available for an immediate appointment. Candidates
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and functional/molecular studies. Whilst the focus of this recruitment drive is to find a candidate with genomics expertise, enquiries would also be welcome from molecular biologists interested in using
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of the structure and use of routinely collected cancer data. In this role, the postholder will act as a liaison between the National Disease Registration Service and the Departments of Public Health
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diversity. We work to identify the genes that regulate plant development, describe the evolutionary histories of these genes, and connect the molecular evolution of developmental genes to the evolution
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and