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Field
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substantial background in fluid mechanics. Essential skills: Strong knowledge of numerical methods Ability to work effectively in a team Desirable skills / experience: Experience of applying CFD to a complex
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structures like aircraft and vehicles. The research aims to develop a significantly more efficient numerical method. The candidate will thoroughly derive, implement, and validate novel models for crack
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of numerical methods Geophysical fieldwork experience, preferably with GPR and EMI Strong English writing skills Since the work involves interdisciplinary cooperation with several researchers and technicians
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or morphodynamic applications in estuarine and coastal environments.. Proven experience in scientific programming of numerical methods (the finite element method in particular) is a strong asset. Please submit any
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manufacturing defects, such as dry spots, but also enable the development of real time control methods to adjust process parameters to maximise productivity and product quality. Working closely with
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, partial differential equations, and numerical methods is highly desirable. For further information and relevant references, please contact Dr. Davide Proment at d.proment@uea.ac.uk . Entry Requirements
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process. To achieve this goal, a physically-based extension of an existing particle-based method (implemented in LAMMPS) is required to account for transformation plasticity, damage and fracture, which is
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the Numerical Analysis group at TU Delft. The group is internationally recognized for its contributions to iterative methods, numerical linear algebra, and parallel computing. The project will be carried out in
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looking for a PhD Student (f/m/d) to work on the Development and Evaluation of PET Image Reconstruction Methods for Simultaneous Clinical Dual-Tracer PET Imaging. Positron emission tomography (PET) is a
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Methods The Southern Ocean plays a disproportionate role in capturing anthropogenic heat and carbon. Its complex dynamics are characterised by interaction between the large-scale and a range of small-scale