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Field
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, including thermal behavior and ageing and experiments that lead to accelerated ageing. This requires developing understanding of the underlying physics, methods for data-driven modelling and numerical
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systematic investigation across diverse rock types and integration with predictive models remains lacking. In this PhD study, you will be performing experiments and numerical simulations to understand and
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numerical methods and strategies to solve the electromagnetic and heat transfer problem in induction welding. Develop constitutive models that capture the temperature dependence of anisotropic
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critical role. The research will combine: Numerical modelling: develop and validate models to describe transport and separation mechanisms Experimental work: Design and operate and experimental setup using
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, probabilities, stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python, Julia, or MATLAB
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: • Develop efficient numerical methods and strategies to solve the electromagnetic and heat transfer problem in induction welding. • Develop constitutive models that capture the temperature
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Are you fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production
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-driven modelling, probabilities, and stochastic optimization solutions is an advantage. Excellent modelling skills and skills in scientific programming and/or numerical computing in languages like Python
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theoretical modeling, numerical simulation, and experimental validation. Key objectives can include: Developing theoretical and computational models for friction-induced damping in joints and interfaces
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Help push the boundaries of urban wind modelling by developing efficient