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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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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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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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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
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, and have experience of running global climate models on high performance computing platforms and analysing their output. You will have evidence of a strong commitment to publishing scientific results
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in the development of your independent research and innovation career. As part of the programme, we will offer you flexible support, including induction, mentoring and career development planning. You
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with Professor Dave Healy, and collaborate with coders in the Centre for Environmental Modelling and Computation (CEMAC) at Leeds, to quantify the geomechanical state of the UK subsurface. This project
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Research Fellow in Resilience Dynamics of Regenerative Agriculture Salary: Grade 7 (£39,355 – £46,735 p.a. depending on experience) This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working...
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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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partners, those with lived experience of domestic abuse and local artists to develop a proposal for funding of a cultural programme, and accompanying hub, aimed at young children to improve understanding