32 applied-harmonic-analysis PhD positions at University of Cambridge in United Kingdom
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experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance
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obtaining) a PhD in Engineering or other relevant area Knowledge and experience in: Material flow analysis, environmental assessment, emissions accounting or other topics and tools of Industrial Ecology
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Soft electronics. The post holder will be located in West Cambridge, Cambridgeshire, UK. The role
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on a European consortium project, UP2030. UP2030 aims to support cities in driving the transitions
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of the project is to 1) develop computational pipelines for image analysis and physical analysis of cell shape trajectories, and for combined morpho-molecular analysis of cell shape together with molecular markers
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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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A position exists for a Research Assistant/Associate in High TRL Aerothermal Testing at the Department of Engineering. You will join the growing National Centre for Propulsion and Power team, based
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familiar with the acquisition and reduction of data from astronomical facilities and with the use of database and web-based systems , including familiarity with developing web interfaces for data analysis
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Assistants is £32,546 - £35,116 and for Research Associates this is £37,174 - £45,413 per annum. Suitable candidates should have previous experience of genetic analysis of large scale genome sequence data and