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degree in Engineering or a PhD) • Extensive knowledge of Computational Fluid Mechanics (typically a Master’s degree in Engineering or a PhD) • Experience with supercomputing clusters and queueing systems
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on qualifications and prior experience, as well as excellent research infrastructure and an international working environment. Qualifications and skills Experimental Fluid Mechanics position: - PhD in engineering
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specific research topic, the PhD fellows will explore various aspects of mechanical and chemical engineering, from snow science, fluid mechanics and biophysics to bioengineering and multiphysics modeling
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multidisciplinary team of researchers spanning geology, geophysical fluid dynamics, applied mathematics and geophysical/geodetic volcano monitoring to deliver a step-change in understanding the origin of surface
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Requirements: • PhD in Mechanical/Energy Engineering or related field with experience in building energy or thermo-fluid network modelling (Candidates who do not possess a doctoral degree but have very high
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how to safely utilize AI in our daily lives. This PhD project has three objectives: (1) Build an app containing children’s games that assesses fluid intelligence accessible to both humans and AI. (2
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. Spectral dynamics of the conditional Lyapunov vector (https://www-cambridge-org.sheffield.idm.oclc.org/core/journals/journal-of-fluid-mechanics/article/spectral-dynamics-and-spatial-structures
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impetus has revealed several open problems and challenges. This PhD project will strive to resolve some of these problems/challenges by utilising a mixture of tools from applied mathematics and
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partners, thereby ensuring that all DCs will spend time in both academia and industry. The details of each project description and further instructions on How to Apply for them can be found at https
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materials or fluids with applications in the field of lubricants and/or adhesives. LanguagesENGLISHLevelGood Internal Application form(s) needed FORMULARIO SOLICITUD DE PARTICIPACION ESPAÑOL E INGLES.pdf