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Come join QuTech and create the Quantum Future! Job description After a successful first hire for this research topic. We are looking for a second candidate to join the Veldhorst group as a PhD
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PhD position to research novel fast controlled photonic integrated switches for low latency and highly scalable AI compute clusters. The electro-optical communications (ECO) group in the Faculty
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clusters with low power consumption and ultra-low and deterministic latency. The focus of the PhD activity is on demonstrating disruptive new network architectures for AI compute clusters utilizing optical
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You’ll Be Doing Successful candidates will conduct independent research within one of the institute’s high-profile research groups, while enrolling in a PhD program at a Dutch university (e.g., Utrecht
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We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home...
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About the Hubrecht Institute The Hubrecht Institute is a research institute focused on molecular and developmental biology. Because of the dynamic character of the research, the institute has a variable number of research groups, around 20, that do fundamental, multidisciplinary research on...
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of Mechanics of Materials (MoM) (www.tue.nl/mechmat) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e) launched a PhD excellence programme for sustainable materials in 2026
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/mechmat ) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e) launched a PhD excellence programme for sustainable materials in 2026 in order to recruit 11 outstanding
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their mechanical microenvironment. As a PhD candidate, you will develop novel computational tools to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework
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novel computational tools to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework to investigate how cartilage microtissue growth dynamics