13 parallel-computing-numerical-methods-"DTU" Fellowship research jobs at University of Leeds
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Do you have a background crossing the disciplines of computational mechanics and biomedical engineering? Do you have an interest in developing computational models to investigate the lubrication
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statistical methods. We are committed to supporting and developing our team members, through attendance at conferences and access to training in research methods, and will support you to further develop your
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Are you interested in astrophysics, and how 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
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to completion) in geophysics, physics, applied mathematics or similar highly numerical discipline with a strong background in computational modelling or scientific machine learning. You will also have the ability
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. These findings will inform a new generation of Finite Element computational models that seek to include the complex behaviour of rocks into volcano deformation models. You will join and work with Dr Craig Magee
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the upper troposphere significantly impact Earth's radiation balance by trapping long-wave radiation. Three proposed methods aim to reduce global climate forcing by manipulating upper tropospheric/lower
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, cross-cutting Methodological Research, Education and Innovation (M-REI) Division, conducting statistical, trial conduct and mixed methods research inspired by real problems encountered in complex trials
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Are you a researcher looking for your first challenge? Are you passionate about making computers faster and more reliable? Do you have experience in machine learning applications for software
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at interfaces in MOF-based membranes using advanced electron microscopy and focused ion beam microscopy methods. You will work to apply electron pair distribution function analyses to questions in host–guest
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of the Role The British Council is sponsoring three Early Career Research Fellows from Egypt to be hosted by the School of Dentistry at the University of Leeds. They will join a research programme focused on