21 finite-element-methods PhD positions at Eindhoven University of Technology (TU/e) in Netherlands
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skills to model and design optical systems for sustainable high-tech devices for billions of people? Do you like to develop and analyze numerical methods for partial differential equations? Information
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and integrates two crucial elements for the breakthrough and impact of Additive Manufacturing: Standardization and Intellectual Property (IP). Aiming for both theoretical and practical contributions
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methods are not sufficiently accurate. Tumor vasculature abnormalities, such as increased permeability and tortuosity, challenge traditional imaging techniques. Contrast-enhanced ultrasound (CEUS) using
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a multidisciplinary problem centered around computational mechanics and engineering, potentially involving (i) multiphysics problems, (ii) multiscale methods, (iii) uncertainty quantification and (iv
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contributing to the next generation of computing technology. You will work on CVD and MOCVD growth of 2D materials (e.g. transition metal dichalcogenides, metal oxylselenides), focusing on achieving both n-type
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9 Oct 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Educational sciences » Education Educational sciences » Teaching methods Engineering » Design
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of silicon with only preliminary exploration of in-SEM scratching. Building upon the preliminary in-situ SEM scratch exploration, the following extensions and improvements need to be made: Develop a method to
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, a cutting-edge initiative aimed at revolutionizing patient monitoring in clinical settings. The focus of this PhD research is to develop optimal methods for capturing and sampling patient states, with
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of organic chemistry, molecular structure, and/or drug-discovery principles. Demonstrated interest in applying machine learning or computational methods to chemical or biological problems. Motivation to work
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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