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within the Delft Institute of Applied Mathematics at TU Delft is offering a full-time PhD position in the area of advanced iterative solvers and preconditioning strategies for large-scale indefinite
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explanations, PriXAI focuses on generating targeted, privacy-safe evidence that helps users understand when predictions can be trusted. We are offering two PhD positions that will contribute to this mission
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risks, the candidate will develop theory-grounded questionnaires to be administered across three countries using online surveys. During this 4-year-long project, the PhD student will build on the latest
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the hydrometallurgical recycling of Li-ion batteries. As a PhD researcher, you will: Investigate purification and separation methods to understand mechanisms for impurity removal (e.g., Cu, Al, Fe) and for better recovery
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PhD opportunity. Challenge: Design a just-in-time authorization and usage control stack that reacts to dynamic risk signals while guaranteeing legality, privacy, and ethical safeguards across
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models will allow us to explore how sex diversity affects movement and musculoskeletal loading, guiding more equitable rehabilitation, prevention, and performance programs. As a PhD candidate in this
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testing of these materials. You’ll join our highly motivated, supportive and cohesive team of professors, teachers, technicians, PhD students and master’s students in the Electronic Instrumentation (EI
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Delft and NXP Semiconductors as a PhD researcher developing next-generation testing solutions for analog and mixed-signal automotive chips. Job description The Computer Engineering (CE) section
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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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enriched with additional time and scale dimensions for dynamic, space- and time-adaptive simulations. Managing this n-dimensional data efficiently is a central challenge. In your PhD research, you will