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Field
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to constrain the depth of the magmatic pressurization source (5). Training The candidate will gain skills in seismic data processing, tomographic imaging, and numerical modelling. Travel opportunities include
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team player with strong scientific interests, self-motivation, combining an aptitude for practical research with numerical skills. You will have a degree in natural sciences, environmental sciences
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structures. This highly interdisciplinary project combines mechanical engineering, materials science, and control systems, and will require both numerical simulation and experimental validation. The outcomes
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application and development of methods for advanced NMR investigations of hyperpolarised solids. This will involve varying proportions of hands-on experimentation, theoretical work, numerical simulations, and
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background in, or willingness to learn, physics-based numerical modelling and programming skills, in Python (preferably), R, MATLAB, or a comparable language. Openness to collaborate within interdisciplinary
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be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to conduct direct numerical simulations of turbulent flows over rough surfaces under non-equilibrium
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numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as
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the resilience of drinking water supplies in the affected region for the future, based on laboratory analyses, field investigations and numerical modelling. Tasks: We are looking for a highly motivated researcher
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research revolves around the following key objectives: Finding analytic expressions for families of numerical Hamiltonians that model magnetic topological semimetals. Classifying such Hamiltonians in terms
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holiday leave, company pension scheme (VBL) We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours Numerous company health management