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have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related disciplines. Skills in numerical tools and programming are desirable. Any experience in engineering
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and travel Requirements The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related disciplines. Skills in numerical tools and programming
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in an engineering or related subject with experience of mechanics, finite element methods and numerical analysis. Please state your entry requirements plus any necessary or desired background A first
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engineering or a related subject. You will demonstrate disciplined and consistent working habits, independent thinking, and adopt a rigorous and detail-oriented approach to research. Experience with numerical
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predictions to conventional continuum predictions to understand the relationships between the different theoretical frameworks. The analysis will be accompanied by detailed numerical computations in
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materials manufacturing, characterisation and testing equipment. Flexible and hybrid working is supported. Receipt of a competitive, tax-free stipend. Numerous opportunities for local and international
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will also use finite volume-based numerical simulations and (if desired by the student) mathematical modelling. You will work alongside other researchers within the Fluid Dynamics Research Centre
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the behaviour of energetic materials both at the microscopic (i.e. crystal deformation and failure) and macroscopic levels. Numerical techniques for the generation of digital twins and modelling
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. Background: Detecting deception is an important but challenging task for numerous organizations worldwide including in the UK (e.g., Probation Service, Police). Whilst there are different approaches, the most
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model (NAME; Numerical Atmospheric dispersion Modelling Environment), which tracks particles from their source through their motion in the atmosphere. NAME has been extensively used for Earth, in