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of a PhD. • Expert knowledge of linear PDEs (in particular wave equations and elliptic equations), high-frequency asymptotics, and numerical methods. • Excellent communication and organisational
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experiments (experimental economics, preference method, discrete choice method, surveys, etc.), with associated academic publications ? You are familiar with putting forward proposals to help build up
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friction welds. Work here includes the characterization of production machines using additional instrumentation, the simulation of the process using several numerical methods, and the development
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methods for studying somatic mutations at increasing scale and precision. In close collaboration with the Huang lab and others, we are 1) Developing new experimental and computational tools to identify
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advanced computational methods can be used to investigate the evolution of magnetic fields in neutron stars? Would you like to feel part of a strong supportive group at the University of Leeds? We
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research associates and PhD students. You will also engage directly with numerous external stakeholders (industry and academia), which will form part of your research network and give you opportunities
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at all levels; offer vital services to scientists in the public and private sectors within the member states; develop new instruments and methods; and engage actively in technology transfer
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or data to inform research outcomes. Proven skills in study design and data collection methods, including development of in-person data collection tools (such as surveys and interview schedules) and
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the mid-to-high frequency range. It will focus on developing new experimental methods for characterizing the wave scattering properties of junctions and vibration sources that integrate with Dynamical
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-reviewed journal articles. The successful applicant will have two key attributes: Strong track record in Computational Fluid Dynamics and application of numerical modelling methods, and A track record in