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hold an MSc in Earth science, environmental science, data science, physics, mathematics or computer science, with practical machine learning/artificial intelligence courses and relevant project and
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and educator passionate about investigating the underlying mechanisms of Alzheimer’s and Parkinson’s diseases with a specific interest in variance among different populations and how such differences
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intersection of solid mechanics, constitutive theory, and data-driven modeling, while contributing to fundamental advances in soft material mechanics and developing transferable skills applicable to a broad
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and pre-treatment of textile structures dyed with new biogenic dyes. The work includes bleaching experiments on mixed textile waste as well as extensive chemical, mechanical and colorimetric
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or equivalent Skills/Qualifications Solid knowledge of fluid mechanics, turbulence physics and high performance computing. Specific Requirements Work will take place at the Computational Fluid Dynamics research
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and you’re not fazed or overwhelmed by the ambitious nature of the project. You also have: An MSc degree in Civil Engineering, or a related field. A solid background and keen interest in NDT
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. Researches all required documents as issued by Federal Aviation Administration (FAA) for continued airworthiness of aircraft. Completes ground ops check on aircraft prior to release. Assigns duties
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of electromechanical coupling in uniaxial ferroelectrics”. Electromechanical coupling is the ability of some solids to convert mechanical and electrical energies into one another. This physical phenomenon is of huge
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method thus enables, for a given granular packing, independent control of the mechanical behaviour of the binder and of the amount of binder deposited, both as solid bridges at intergranular contacts and
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux