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people and businesses think about climate risks, if their choices lead to stranded assets, and how they shape climate adaptation. Job description This 4-year fully funded PhD position is part of the ERC
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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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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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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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environments Change: Development of pMOS GaN Technology to complement nMOS GaN Impact: Operate microelectronics in harsh environments Job description We seek you as a PhD candidate to investigate enabling CMOS
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for personnel require alternative solutions, such as moving rolling stock maintenance to daytime on days or periods with less transport demand. The objective of this PhD project is to develop and demonstrate a
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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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learning. In this PhD position you will focus on strain-aware genome assembly, variant calling and strain abundance quantification for viruses, bacteria and yeasts. For example, we would like to be able
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asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job Description As a PhD candidate in Mathematical Statistics, you will develop novel
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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