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PhD at TU Delft developing co-design methodologies for accessible AI/XR technologies. Job description TACIT Project Around 25% of the Dutch population lives with long-term visual, hearing
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Join us to decode how genetic variation reprograms brain cells and disrupts their communication using AI Job description We are looking for a PhD student to work at the intersection of machine
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systems, resulting in two functional demonstrators Rigorous performance evaluation under various conditions, including static and dynamic characterization For this project, the PhD candidate will spend 6
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, and thus the supply decisions, are based on users’ preferences. This PhD position within FlexMobility, will focus on the supply-demand interactions to guide the design of mixed fixed-flexible transport
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sharing within initiatives such as Knowledge-Based Pavement Engineering (KPE) for more accurate remaining lifetime predictions. This PhD project focuses on developing a systematic and future-proof framework
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PhD candidates, postdocs, and faculty members. Our group focuses on understanding and mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through
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, particularly the role of modal couplings in energy transfer and dissipation, remains a fundamental challenge. This PhD project offers a unique opportunity to tackle these two complementary perspectives. In
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Develop strategies for testing of coupons and demonstrate functional heterogeneous photonic circuits Information Photonic integrated circuits - or optical chips - have evolved into a mature technology with
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superposition and entanglement to “large” objects that we usually think of as classical particles. This is exactly what you will do at TU Delft. As a PhD student in our teams, you will investigate how
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Engineering (KPE) for more accurate remaining lifetime predictions. This PhD project focuses on developing a systematic and future-proof framework for pavement lifetime prediction, primarily in Dutch conditions