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of custom written codes and the use of commercial finite element software and user subroutines that will deliver novel solutions for virtual manufacturing methods. The appointment will be at Research
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will have a strong background in numerical analysis and computational mathematics, with proven research contributions in finite element methods, boundary element methods, numerical methods for partial
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mathematics, with proven research contributions in finite element methods, boundary element methods, numerical methods for partial differential equations (PDEs) with uncertainties, and related areas
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with other disciplines for developing deeper insight into the physical behavior of materials and structures, such as through combinations of finite element methods with machine learning. Tasks also
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to the prestigious Faculty of Engineering, which is one of the largest academic communities of engineers in the UK, ranked joint 1st in the UK for Research Environment in the last Research Excellence Framework (REF
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Date Posted: 07/16/2025 Req ID: 44291 Faculty/Division: Faculty of Applied Science & Engineering Department: Dept of Mechanical & Industrial Eng Campus: St. George (Downtown Toronto) Position Number
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in computational mechanics and a strong background in solid mechanics and the finite element method. Candidates should have a demonstrated experience in teaching undergraduate and/or graduate courses
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with other disciplines for developing deeper insight into the physical behavior of materials and structures, such as through combinations of finite element methods with machine learning. Tasks also