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probabilistic methods. Some familiarty with Finite Geometry will be advantageous. Mathematical Maturity: Ability to write mathematical proofs and formal texts as evidenced by a master's thesis report or similar
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—such as air taxis, eVTOL aircraft, and delivery drones—brings new challenges for operating at low altitudes over densely populated areas. A key factor affecting public acceptance is the noise produced by
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Ready to shake things up in aerospace manufacturing? Join us in developing next-gen quality assurance methods for 3D-printed metal parts using vibrations, AI and physics-informed models, and help
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We invite applications for a fully funded PhD position in the field of numerical modelling of iron electrodeposition, i.e., multiphase flows involving phase change, using fully resolved CFD methods
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make extensive use of low-fidelity simulations which can provide fast but inaccurate solutions depending on the flow complexity. To close this gap, this PhD will explore machine-learning (ML) methods
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, this PhD will explore machine-learning (ML) methods to significantly reduce the turnaround time of SRS, thus enabling their use for industrial design processes. By combining state-of-the-art numerical
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The PhD will develop AI methods and approaches to enable accurate characterization of metal scrap, for more efficient metal recovery and recycling Job description The volume of available metal scrap
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implants using finite element analysis and topology optimization. Join us to shape the future of personalized orthopedics Job description Faculty of Mechanical Engineering at TU Delft Are you passionate
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programming languages and formal methods. Strong software engineering skills. Curiosity and agility to understand and navigate new technologies when applicable. Has an inclusive mindset and values good
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with disabilities through inclusive Human-Computer Interaction (HCI) and participatory design methods. This PhD project will focus on methods and experiences in co-designing with stakeholders, especially