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, collaborating with multidisciplinary teams, and staying updated with advancements in the field. This position requires expertise in hydrodynamics, FEM, stability modeling, and a hands-on approach to field testing
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) Signals.” The project aims to develop parametric methods for generating realistic PPG signals. The work includes mathematical modeling, differential equation solving, finite element method (FEM) integration
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qualities and suitability. Your workplace This ELLIIT -funded project will be conducted at the Physics, Electronics, and Mathematics (FEM ) division within the Department of Science and Technology (ITN
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in Adelaide and Melbourne. Expected outcomes The Finite Element Method (FEM) is the current dominant approach for modelling real-world signals but requires substantial, uniformly distributed data. Real
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methods/simulations, state-of-the-art computational techniques (e.g. data-driven methods and/or FEM) and/or theoretical material modeling will be given preference We offer: chance to collaborate with
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acquisition and statistical methods is an advantage. Experience with numerical simulations (FEM). You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent
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. Furthermore, you must in the application for the Researcher position document research activity within at least three or more of the following thematic areas: Computational mechanics using commercial FEM codes
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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
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solid understanding of solid mechanics, continuum mechanics and material behaviour. Proficiency in programming (e.g., Python) and experience with numerical methods (e.g., FEM) are desirable. Familiarity
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Application/Interview Strong background in semiconductor device design and/or simulation, including photolithographic mask layout Essential Application/Interview Experience of 3D finite element modelling (FEM